דרושים Assistant Director-data Engineering-eds Ndo ב-Ey ב-India, Thiruvananthapuram

Job Description: EY GDS – Data and Analytics (D&A) – Sr.Manager – Data Scientist

We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 14+ years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.

Your technical responsibilities:

• Contribute to the design and implementation of state-of-the-art AI solutions.
• Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI.
• Collaborate with stakeholders to identify business opportunities and define AI project goals.
• Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges.
• Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.
• Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities.
• Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.
• Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.
• Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.
• Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.
• Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency.
• Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases.
• Ensure compliance with data privacy, security, and ethical considerations in AI applications.
• Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications.

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus.
• Minimum 14+ years of experience in Data Science and Machine Learning.
• In-depth knowledge of machine learning, deep learning, and generative AI techniques.
• Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch.
• Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.
• Familiarity with computer vision techniques for image recognition, object detection, or image generation.
• Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment.
• Expertise in data engineering, including data curation, cleaning, and preprocessing.
• Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.
• Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models.
• Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels.
• Understanding of data privacy, security, and ethical considerations in AI applications.
• Track record of driving innovation and staying updated with the latest AI research and advancements.

Good to Have Skills:

• Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems.
• Utilize optimization tools and techniques, including MIP (Mixed Integer Programming).
• Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models.
• Implement CI/CD pipelines for streamlined model deployment and scaling processes.
• Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.
• Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation.
• Implement monitoring and logging tools to ensure AI model performance and reliability.
• Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.
• Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Technology - Data Management & Strategy – Senior Manager – Life Sciences Sector

We are seeking an experienced forecasting leader with over 10+ years of experience who is passionate about all things commercial pharma. This role is focused on strategic forecasting and allied capabilities and hence candidate should have deep expertise in commercial analytics, strategic/financial forecasting and preferably demand planning/supply chain forecasting.

Areas of Expertise needed in Strategic Planning, Forecasting & Benchmarking, Market & GAP analysis, Financial Reporting, Market Entry Strategy, Commercial Analytics & Brand Development

As a Senior Manager in Data Management & Strategy, you will lead the charge in technology transformation projects, aligning with strategic objectives to drive desired outcomes. You'll be the assurance to leadership, managing timelines, costs, and quality standards, while steering both

You will guide clients through the evolving world of analytics, data governance, and modern data platforms. We’ll rely on you to provide strategic leadership and a unique business perspective on how data and analytics can improve operations, increase agility, and drive transformation.

In this role, you will design and apply comprehensive methods and practices to govern the entire lifecycle of data assets, ensuring their protection and monetization. You will perform maturity assessments on data management capabilities and advise on tools and roadmaps to implement them, all while aligning data strategies with business objectives.

Your key responsibilities

As a Senior Manager in Data Management and Strategy, you will lead complex processes and projects, ensuring quality and risk management while navigating organizational dynamics. This role offers a unique opportunity to work closely with clients, providing insights and solutions that drive business value. You will be responsible for managing client relationships and engagement delivery, with regular travel requirements to meet client needs.

In this pivotal role, you will:

• Exercise judgment in selecting methods and techniques for obtaining results.
• Define and execute the analytics and data governance strategy for oil & gas clients, aligning with business objectives and regulatory requirements.
• Develop and implement robust data governance frameworks, including policies, data stewardship models, roles, and accountability across the organization.
• Oversee the delivery of technology projects, ensuring adherence to methodologies like Agile and Waterfall, and mentoring team members.
• Drive continuous improvement and innovation, applying research, analysis, and best practices to advance processes and solutions.
• Manage complex technical initiatives, providing expert guidance, resolving issues, and achieving performance objectives across client service, risk management, and team development.
• Engage actively with clients, leading workstreams, and identifying opportunities to expand services.
• Spearhead RFP responses and manage engagement economics, including resource planning and budgeting.
• Travel as required to meet client needs and project demands.

Overall delivery

• Lead delivery of large client engagements be accountable for success of the delivery with very high quality and timeliness in an evolving business environment.
• Develop resource plans and budgets for engagements, ensuring effective engagement economics.
• Strong functional knowledge in brand volume forecasts for both short-term and long-term strategic and operational planning. Solve regional and brand-level analytical challenges using quantitative approaches
• Deep understanding of forecasting algorithms (time series forecasting, patient flow), external datasets (e.g. IQVIA, Kantar, Komodo)
• Manage project budgets, timelines, and resources to ensure successful project delivery.
• Advise team on performing sensitivity analyses to identify opportunities and manage risks, enhancing forecast accuracy.
• Strong digital engineering, data science and/or data engineering experience working with life science clients
• Strong knowledge of AI technologies and frameworks
• Working experience with industry leading methods of delivery for digital, data and analytic products
• Help set and execute governance for engagements including performance scorecards, RACI, manage risk/mitigation etc.

Practice development

• Serve as a part of a leadership team at EY focusing on all things customer in pharma and helping build the practice to achieve future vision and goals.
• Contribute actively to points-of-view, POCs, proposals and selling materials to help win and close deals across horizontals and use cases
• Identify opportunities where EY can push frontiers for pharma clients in the customer space

• Stay up to date with the latest pharma trends and evaluate state-of-the-art technologies/framework to drive innovation.
• Identify and develop new business opportunities within the life sciences domain.

Stakeholder management

• Foster strong relationships with clients, acting as a trusted advisor and advocate for their success.
• Collaborate with clients and stakeholders to translate business asks to scalable, operable solutions

Team and People development

• Provide leadership and development for direct reports
• Recruit, develop, and retain a strategic and operationally capable workforce skilled and knowledgeable in pharma
• Effectively manage an agile organization that continuously meets the needs of a changing portfolio
• Build an organizational culture that fosters inclusion and innovation.
• Create an environment that fosters professional and career development. In partnership with line management, develop the team’s expertise in pharma, therapeutic area science, strategic thinking, project management and leadership
• Develop and mentor junior team members, fostering a culture of continuous learning and growth.
• Put together development plan for team members and help plan career growth and opportunities for other team members
• Evaluate and manage performance for leaders and other team members

Skills and attributes for success

To excel in this role, you will need:

• Proven ability to construct and direct technology projects in line with organizational goals.
• Expertise in project and program delivery methodologies, with the ability to mentor others.
• Strong analytical skills to develop creative solutions for complex problems.
• Leadership skills to manage professional staff and supervise teams effectively.
• Strategic thinking to drive sales, business growth, and client satisfaction.

Experience:

• 8+ years of experience in python programming specializing in data handling, managing, ETL jobs
• 8+ years of hands-on experience in querying data in cloud platforms such s AWS, Azure etc.
• 8+ years of experience in building statistical forecast models for pharma industry
• Exposure to sourcing/automating data pulls using APIs from different platforms e.g. evaluate pharma, pricecentriq
• 8+ Years of experience in leading report development and design
• Pharma forecast data exposure preferred. E.g. Exposure to IQVIA MIDAS, KANTAR, GLOBOCAN
• Understanding of Concepts and Metrics in forecasting funnel. E.g. Incidence, prevalence other Epi metrics, Units, patients, dosage, Line of therapy etc.

Skillsets:

• Visualization Tools: Power BI, Spotfire, Power Apps
• Data Manipulation & Analysis: SQL, Excel
• Programming Languages: Python
• Data Sources: Familiarity with relational databases, data lakes, and clinical trial data systems
• Cloud Platforms: AWS (S3, EC2, Lambda), Azure (Data Lake, Azure Functions)
• Programming Languages: Python (Dash, Pandas, NumPy), SQL
• DevOps Tools: Jenkins, Git, GitHub (good to have)
• Database Technologies: MySQL, PostgreSQL, NoSQL databases
• Certification in AWS Solutions Architect / Microsoft Azure Data Engineer (good to have)
• Statistical Programming Languages: Python, R
• Libraries & Frameworks: Pandas, NumPy, Scikit-learn, StatsModels, Tidyverse, caret
• Data Manipulation Tools: SQL, Excel
• Data Visualization Tools: Matplotlib, Seaborn, ggplot2,
• Machine Learning Techniques: Supervised and unsupervised learning, model evaluation (cross-validation, ROC curves)

To qualify for the role, you must have

• A bachelor’s degree required; Master’s degree preferred in a quantitative or technical field (e.g., statistics, computer science, engineering, mathematics) with prior consulting experience required.

• 8 years+ of relevant experience in delivering client engagements across sizes and geographies with deep expertise in Pharma commercial industry
• Specialized skills in Data Fabric, Data Governance, Enterprise IT Architecture, and other data management disciplines
• Well-developed business acumen and strong problem-solving attitude with the ability to visualize scenarios, possible outcomes & operating constraints.
• Good communication skills both written and oral, ability to make impactful presentations & expertise at using excel & PPTs.
• A trusted advisor to our clients, guiding them through the entire customer transformation journey, from strategy development to implementation
• Familiarity with current techno-commercial context and ability to integrate technology thinking into customer solutioning
• Excellent problem-solving skills and ability to scale engagements at will

Ideally, you’ll also have

• A proactive approach to identifying and solving client issues.
• Excellent communication and leadership skills to guide teams and interact with clients.

:EY GDS – Data and Analytics (D And A) – Senior – Senior Data Scientist

We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.

Your technical responsibilities:

• Contribute to the design and implementation of state-of-the-art AI solutions.
• Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI.
• Collaborate with stakeholders to identify business opportunities and define AI project goals.
• Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges.
• Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.
• Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities.
• Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.
• Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.
• Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.
• Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.
• Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency.
• Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases.
• Ensure compliance with data privacy, security, and ethical considerations in AI applications.
• Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications.

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus.
• Minimum 3-7 years of experience in Data Science and Machine Learning.
• In-depth knowledge of machine learning, deep learning, and generative AI techniques.
• Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch.
• Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.
• Familiarity with computer vision techniques for image recognition, object detection, or image generation.
• Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment.
• Expertise in data engineering, including data curation, cleaning, and preprocessing.
• Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.
• Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models.
• Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels.
• Understanding of data privacy, security, and ethical considerations in AI applications.
• Track record of driving innovation and staying updated with the latest AI research and advancements.

Good to Have Skills:

• Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems.
• Utilize optimization tools and techniques, including MIP (Mixed Integer Programming).
• Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models.
• Implement CI/CD pipelines for streamlined model deployment and scaling processes.
• Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.
• Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation.
• Implement monitoring and logging tools to ensure AI model performance and reliability.
• Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.
• Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.

Role Overview:

We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 8 - 11 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.

Your technical responsibilities:

• Contribute to the design and implementation of state-of-the-art AI solutions.
• Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI.
• Collaborate with stakeholders to identify business opportunities and define AI project goals.
• Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges.
• Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.
• Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities.
• Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.
• Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.
• Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.
• Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.
• Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency.
• Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases.
• Ensure compliance with data privacy, security, and ethical considerations in AI applications.
• Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications.

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus.
• Minimum 8-11 years of experience in Data Science and Machine Learning.
• In-depth knowledge of machine learning, deep learning, and generative AI techniques.
• Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch.
• Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.
• Familiarity with computer vision techniques for image recognition, object detection, or image generation.
• Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment.
• Expertise in data engineering, including data curation, cleaning, and preprocessing.
• Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.
• Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models.
• Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels.
• Understanding of data privacy, security, and ethical considerations in AI applications.
• Track record of driving innovation and staying updated with the latest AI research and advancements.

Good to Have Skills:

• Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems.
• Utilize optimization tools and techniques, including MIP (Mixed Integer Programming).
• Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models.
• Implement CI/CD pipelines for streamlined model deployment and scaling processes.
• Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.
• Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation.
• Implement monitoring and logging tools to ensure AI model performance and reliability.
• Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.
• Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.

Key Responsibilities:

The role requires strong expertise in BI/Visualization practice using Power BI, the candidate must have strong ability to:

• Lead and mentor a team throughout design, development and delivery phases and keep the team intact on high pressure situations.
• Working with the clients directly to understand the requirement and determine the optimum solutions
• Create technical solutions as per business needs by translating their requirements and finding innovative solution options
• Provide product and design level functional and technical expertise along with best practices
• Work both as a good team player and an individual contributor throughout design, development and delivery phases and stay with the focussed on the quality of the deliverable.
• Demonstrate willingness to upskill and take on new challenges
• Ability to quickly do POCs and demonstrate solutions to the client/onshore teams
• Get involved in business development activities like creating POCs, assist in RFPs, service offering development etc.
• Participate in organization-level initiatives & operational activities
• Ensure continual knowledge management and contribute to internal L&D teams

Qualifications:

BE/BTech/MCA/MBA with 3 - 5 years industry experience

Must have:

• PowerBI hands-on experience for a minimum of 3-5 years
• Strong proficiency in SQL/PLSQL
• Good experience in performance tuning reports and dashboards.
• Excellent communication skills to interact with and present solutions to stakeholders

Good to have:

• Working knowledge on other reporting tools like Tableau
• Good knowledge about data concepts such as Data Warehouses, Data Marts, data extraction, preparation processes
• Understanding of the importance of data governance and data security
• Experience on Banking and Capital Markets domains

People responsibilities:

• Prior Client facing skills and proven ability in effective planning, executing and problem-solving skills
• Multi-tasking attitude, flexible with ability to change priorities quickly
• Ability to plan resource requirements from high level specifications
• Ability to quickly understand and learn new technology/feature and should inspire change to make an impact within the team and in a client organisation

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Key Responsibilities:

• Leading a team of financial modellers who are engaged in the development and review of financial models. Managing client relationship with various user offices across MENA region and actively taking part in business development initiatives of the firm.
• Liaising with the onshore team and acting as a single point of contact in project execution and delivery.
• Being responsible for acting as a mentor for 2–3-member team and responsible for their career growth within the firm.
• Develop and review of financial models for purposes including strategic planning; feasibility study, capital allocation; transaction support; mergers and acquisitions; investment appraisal; financial accounting and reporting purposes.
• Have an eye for detail to assess the model for its accuracy, viz, arithmetical, and logical flow of items in the model and raising the review observations to ensure quality.
• Identify issues and propose strategies related to the procedures executed
• Stay abreast of current business and economic developments relevant to the client's business
• Managing and motivating teams of professionals with diverse skills and backgrounds and fostering a team-oriented environment
• Demonstrating in-depth technical capabilities and professional knowledge
• Maintaining long-term client relationships and networks and cultivating business development opportunities
• Use current technology and tools to innovate and enhance the effectiveness of services provided and act as a leader in adopting new tools and techniques
• Work in a highly regarded team, which values collaboration, respect and knowledge sharing
• Work in close collaboration with other Strategy and Transaction teams and the wider firm

What we look for:

• You have an agile, growth-oriented mindset. What you know matters. But the right mindset is just as important in determining success. We’re looking for people who are innovative, can work in an agile way and keep pace with a rapidly changing world .
• You are curious and purpose driven. We’re looking for people who see opportunities instead of challenges, who ask better questions to seek better answers that build a better working world.
• You are inclusive. We’re looking for people who seek out and embrace diverse perspectives, who value differences, and team inclusively to build safety and trust.
• You are highly motivated. We’re looking for candidates who are highly motivated, analytical, logical thinkers with a passion in providing financial solutions and have a very strong attention to detail. Being a strong team player is critical with the ability to adapt to changing requirements or deadlines in support of our client’s goals.

To qualify for the role, you must have:

• Bachelor's degree in Business, Finance, or Accounting; Masters preferred
• CA / CFA / CPA preferred or MBA (preferably from a premier institute) with a good academic background
• 6-10 years of relevant work experience
• Experience with a venture capital, investment banking, commercial banking, or national accounting firm; experience in a financial modelling practice is preferred
• Demonstrated aptitude in quantitative and qualitative analysis
• Strong financial modelling skills
• Ability to create innovative, robust and flexible financial model solutions based on client’s financial and operational information to provide insight into client decisions
• Excellent interpersonal, leadership, and communication skills
• A strong work ethic and the ability to adapt to new challenges in a collaborative team environment
• A strong desire to continually develop themselves and others
• Ability to successfully manage engagements including the work of team members, client interaction, quality of service and expenditures against budget and revenue
• Ability to provide best practice financial modelling guidance to team members to ensure the completion of work deliverables at the highest level of quality
• Superior skills in MS Excel with VBA skills and Exposure to various Analytics tools including PowerBI would be preferred
• General PC proficiency including Word, and PowerPoint

We would expect for you to be available to travel outside of your assigned office location at least 50% of the time, plus commute within the region to other GDS locations on a short or long-term basis, whenever required.

To qualify for the role, you must have

We are looking for a Data Engineer with 5-10 years of experience in data warehousing, ETL/ELT processes, data modeling, and cloud-based technologies, particularly Azure and Fabric. The ideal candidate will have a strong background in building and managing data solutions within the Microsoft Fabric platform and will be proficient in various programming languages.

Your key responsibilities

• Design, develop, and manage data solutions using Microsoft Fabric, including Lakehouse, Data Engineering, Pipelines, Spark, Notebooks, and KQL Database.
• Implement ETL/ELT processes to ensure efficient data integration and transformation.
• Create and maintain data models to support business intelligence and analytics initiatives.
• Utilize Azure data storage services (e.g., Azure SQL Database, Azure Blob Storage, Azure Data Lake Storage) for effective data management.
• Collaborate with cross-functional teams to gather requirements and deliver data solutions that meet business needs.
• Write and optimize code in SQL, Python, PySpark, and Scala for data processing and analysis.
• Implement DevOps practices and CI/CD pipelines for seamless data deployment and version control.
• Monitor and troubleshoot data pipelines to ensure reliability and performance.
• Communicate effectively with diverse teams to foster collaboration and knowledge sharing.

Ideally, you’ll also have

Client management skills

What we look for

People with technical experience and enthusiasm to learn new things in this fast-moving environment

You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer:

• Support, coaching and feedback from some of the most engaging colleagues around
• Opportunities to develop new skills and progress your career
• The freedom and flexibility to handle your role in a way that’s right for you