דרושים Gds Operational Sustainability Enablement ב-Ey ב-India, Bengaluru

Your key responsibilities

• Conducting the conception, design, blueprinting and implementation of Financial Accounting and Controlling solutions in the environment of the SAP ERP / S4 HANA / Central Finance system architecture
• Integrating further SAP applications and system such as e.g. Concur, Ariba, etc.
• Enabling the finance function of the future together with our clients, e.g. in the areas of corporate governance, business intelligence and optimized financial processes that reflect industry- and business-specific needs with the support of SAP technology
• Using modern technology platforms such as S/4 HANA Finance to provide transparent information on profitability, service delivery and cost management to our clients
• Reviewing and performing financial process optimization leveraging SAP Best Practices on SAP platforms
• Supporting experienced colleagues in the design, analysis and optimization of processes and introducing coworkers to SAP topics
• Developing our consulting practice and supporting in carrying out trainings as well as in publishing articles or presenting at conferences
• Using our interdisciplinary range of services to set-up holistic ERP solutions for our customers
• Being continuously trained on new SAP technologies with the opportunity to become SAP-certified

Skills and attributes for success

• A university degree in Economics, Industrial Engineering or Business Information Systems with excellent results
• At least 6 to 10 years of consulting experience with a focus on Finance, Accounting and Controlling
• End-2-End System implementation and transformation experience in SAP S/4HANA and/or SAP S/4 Central Finance at a leading company
• Good understanding of financial end-to-end processes such as Record-to-Report, Order-to-Cash, Source-to-Settle and/or knowledge in Accounts Payable, Accounts Receivable, General Ledger or Asset Accounting
• Experience in translating business concepts into IT designs with one or more ERP systems such as SAP FI/CO, S/4 HANA, S/4 HANA Cloud, Tagetik or Microsoft NAV
• Flexibility and willingness to travel
• As an international company, we require fluency in English and German or French

What we offer you

Click to find out more about our benefits and corporate social responsibility.

Consulting D&A ¬ SQL/TSQL + Power BI– Senior

As part of our EY-DnA team, you will help clients in developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality. Working with latest tools available in the market you will help clients by acquiring data from primary or secondary data sources and maintain databases/data systems and help to identify, analyse, and interpret trends or patterns in complex data sets.

Using your expertise in data analytics you will help our clients to view data in context and make smarter business decisions to achieve improved products and services.

Your key role and responsibilities

• Work as a Senior team member to contribute in various technical streams EY DnA implementation project.
• Client focused with good presentation, communication and relationship building skills.
• Use an issue-based approach to deliver growth, market and portfolio strategy engagements for corporates
• Strong communication, presentation and team building skills and experience in producing high quality reports, papers, and presentations
• Exposure to BI and other visualisation tools in the market
• Building a quality culture
• Foster teamwork
• Participating in the organization-wide people initiatives

Skills and attributes for success

• BE/BTech/MCA/MBA with adequate industry experience
• Should be at least around 3-7 years of experience in Enterprise intelligence
• Ability to translate business requirements/mock-ups/blueprints into technical solutions
• Ingesting data from a variety of corporate data sources and performing required transformations in Power BI query editor.
• Build dashboards, reports and cubes using SQL, MDX, DAX, Power BI.
• Developing calculations in DAX which are accurate and performant on large datasets.
• Designing effective layouts using themes and report grids, working closely with our UX design team.
• Utilising the navigation features in Power BI (e.g. bookmarks, drill-throughs) to guide readers through a compelling data-driven story.
• Deployment and other admin related activities such as scheduling data refresh, sending outputs to users via mail, access control etc.
• Guide the users with the industry standard practices in terms of Power BI dashboard development and maintenance.
• Should have an understanding of various pricing tiers and differentiators between various Power BI licences.
• Working with our clients to manage User Acceptance Testing (UAT) processes and fixing any defects identified.
• Publishing reports via the Power BI service, managing them through distribution of apps and monitoring usage/data refreshes/security access.
• Knowledge of cloud computing, preferably on Azure.
• Strong DWH basics.
• Strong data modelling skills.
• Familiar with Agile and Waterfall SDLC process
• Should be at least 2+ years of experience in Enterprise intelligence
• Experience with relational databases and strong SQL and PL/SQL skills for querying data
• SQL coding experience on large projects working with newer versions of SQL Server (2014 and newer)

Nice to have:

• Power BI Data Analyst Associate Certification
• Experience in design tools like Figma

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 rolewith 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

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.

Job Title: ML Ops Specialist - Senior

3-7 years

Key Responsibilities:

• Design, implement, and manage ML Ops pipelines to streamline the deployment and monitoring of machine learning models in production.
• Collaborate with data scientists and engineers to ensure smooth integration of ML models into existing systems and workflows.
• Utilize Azure services for deploying, managing, and scaling machine learning applications and infrastructure.
• Monitor model performance and implement strategies for continuous improvement and optimization.
• Develop and maintain documentation for ML Ops processes, workflows, and best practices.
• Implement AI Ops practices to enhance operational efficiency and reliability of AI systems.
• Troubleshoot and resolve issues related to model deployment, performance, and data quality.
• Stay updated on industry trends and advancements in ML Ops and AI Ops, recommending best practices for implementation.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• 3-7 years of experience in ML Ops and AI Ops, preferably in the banking and insurance sectors.
• Proficiency in programming languages such as Python or R, with experience in ML frameworks (e.g., TensorFlow, PyTorch).
• Strong understanding of Azure services related to machine learning (e.g., Azure Machine Learning, Azure DevOps).
• Experience with CI/CD practices for machine learning model deployment.
• Excellent analytical and problem-solving skills, with a focus on delivering reliable AI solutions.
• Strong communication skills and the ability to work effectively in a collaborative environment.

Preferred Skills:

• Familiarity with containerization technologies (e.g., Docker, Kubernetes) for deploying ML models.
• Knowledge of data governance and compliance standards in the banking and insurance sectors.
• Experience with monitoring and logging tools for AI systems.

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.

Your key responsibilities

• Have proven experience in driving Analytics GTM/Pre-Sales by collaborating with senior stakeholder/s in the client and partner organization in BCM, WAM, Insurance. Activities will include pipeline building, RFP responses, creating new solutions and offerings, conducting workshops as well as managing in flight projects focused on cloud and big data.
• Need to work with client in converting business problems/challenges to technical solutions considering security, performance, scalability etc. [ 10- 15 years]
• Need to understand current & Future state enterprise architecture.
• Need to contribute in various technical streams during implementation of the project.
• Provide product and design level technical best practices
• Interact with senior client technology leaders, understand their business goals, create, architect, propose, develop and deliver technology solutions
• Define and develop client specific best practices around data management within a Hadoop environment or cloud environment
• Recommend design alternatives for data ingestion, processing and provisioning layers
• Design and develop data ingestion programs to process large data sets in Batch mode using HIVE, Pig and Sqoop, Spark
• Develop data ingestion programs to ingest real-time data from LIVE sources using Apache Kafka, Spark Streaming and related technologies

Skills and attributes for success

• Architect in designing highly scalable solutions Azure, AWS and GCP.
• Strong understanding & familiarity with all Azure/AWS/GCP /Bigdata Ecosystem components
• Strong understanding of underlying Azure/AWS/GCP Architectural concepts and distributed computing paradigms
• Hands-on programming experience in Apache Spark using Python/Scala and Spark Streaming
• Hands on experience with major components like cloud ETLs,Spark, Databricks
• Experience working with NoSQL in at least one of the data stores - HBase, Cassandra, MongoDB
• Knowledge of Spark and Kafka integration with multiple Spark jobs to consume messages from multiple Kafka partitions
• Solid understanding of ETL methodologies in a multi-tiered stack, integrating with Big Data systems like Cloudera and Databricks.
• Strong understanding of underlying Hadoop Architectural concepts and distributed computing paradigms
• Experience working with NoSQL in at least one of the data stores - HBase, Cassandra, MongoDB
• Good knowledge in apache Kafka & Apache Flume
• Experience in Enterprise grade solution implementations.
• Experience in performance bench marking enterprise applications
• Experience in Data security [on the move, at rest]
• Strong UNIX operating system concepts and shell scripting knowledge

To qualify for the role, you must have

• Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution.
• Excellent communicator (written and verbal formal and informal).
• Ability to multi-task under pressure and work independently with minimal supervision.
• Strong verbal and written communication skills.
• Must be a team player and enjoy working in a cooperative and collaborative team environment.
• Adaptable to new technologies and standards.

• Participate in all aspects of Big Data solution delivery life cycle including analysis, design, development, testing, production deployment, and support
• Responsible for the evaluation of technical risks and map out mitigation strategies
• Experience in Data security [on the move, at rest]
• Experience in performance bench marking enterprise applications
• Working knowledge in any of the cloud platform, AWS or Azure or GCP
• Excellent business communication, Consulting, Quality process skills
• Excellent Consulting Skills
• Excellence in leading Solution Architecture, Design, Build and Execute for leading clients in Banking, Wealth Asset Management, or Insurance domain.
• Minimum 7 years hand-on experience in one or more of the above areas.
• Minimum 10 years industry experience

Ideally, you’ll also have

• Strong project management skills
• Client management skills
• Solutioning 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

Role Rank-Senior Manager

You will be responsible to develop large and complex web applications architecture, composed of components, standards that govern which how data is represented, arranged, integrated and used by users, including the design, build and documents to address business requirements

You will be responsible to create sound project plans with the business by engaging with multidisciplinary teams, and by identifying, managing and mitigating risk

You will be responsible to develop relationships across the business to understand data requirements, applies deep technical knowledge of data management to solve business problems in areas where solutions may not currently exist, necessitating new solutions / ways of working / technologies and proactively articulating these to the business

• Lead and mentor multiple engineering teams in designing, developing, testing, and implementing advanced marketing and cloud technologies.
• Drive successful outcomes and departmental OKRs through strong collaboration with US IT leaders. Ensure seamless integration of MarTech platforms with enterprise applications, leveraging deep technical expertise.
• Foster strong relationships with stakeholders and vendors, and lead cross-functional teams effectively.
• Manage hybrid and global teams with clear and concise communication, balancing technical and non-technical perspectives.
• Develop and mentor junior leaders to enhance team performance and innovation.

• 8+ of MarTech Adobe platform experience. 5+ year as people leader.
• Provide guidance and training as necessary to develop crew. Sets performance standards, reviews performance, and makes informed compensation decisions in accordance with all applicable Human Resources policies and procedures.
• Works closely with management to develop and implement staffing and operational plans.
• Effectively leverages various staffing options and manages a global workforce. Participates in the development of short and long term department goals. Monitors and reports on service delivery metrics and overall performance.
• Develops and implements changes to department policies and procedures to meet changing business needs and to achieve department objectives
• Identifies opportunities for continuous improvement and evaluates and recommends appropriate strategies and technologies for building products and delivering services.
• Leads quality initiatives to improve the delivery of service levels. Works with senior management in the planning, development, and execution of short and long range goals
• Presents status, metrics, and department initiatives at meetings with management and project peers. Develops and maintains relationships with key stakeholders to provide long-term collaborations and deliver successful business outcomes.
• Reviews expenses and ensures department operates within budgetary guidelines. Leads the strategy and execution to build, buy, and integrate business technology solutions.
• Identifies and mitigates risks throughout the project lifecycle to ensure smooth execution.
• Manages relationships with external vendors and third-party service providers to ensure quality and timely project deliverables.

What we look for

• Responsible for delivering software releases relating to the product for the business units, managing the testing, evaluation, and selection of IT vendor products. Works with business clients to determine scope, and develops environmental requirements for each project.
• Ensures staff complies with information technology and information security policies and procedures, and verifies that deliverables meet requirements.
• Participates in special projects and performs other duties as assigned.
• Participates in the development of the department budget.
• Oversees end-to-end IT project planning and execution to ensure alignment with strategic business goals.
• Leads the software development lifecycle (SDLC), ensuring timely and effective implementation of IT initiatives.

• Continuous learning:You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you:We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership:We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture:You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

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.

We are seeking a highly skilled DBT Developer with 9+ years of experience to join our growing Data Engineering team. This is a full-time role based in Bangalore, with a 5-days-a-week from office setup.

Key skills required for the role (Primary):

• Expertise in designing and implementing a fully operational solution on Snowflake Data Warehouse using DBT Core / DBT Cloud.
• Experience building Jinja macros, snapshots, and custom materializations.
• Strong understanding of data warehousing concepts, including SCD Type 1 and 2.
• Familiarity with Git for source control and branching strategies.
• Understanding of CI/CD pipelines for data workflows.
• Exposure to Data Mesh architecture and domain-based data ownership.
• Experience with DBT Explorer or similar visualization/documentation tools.
• Familiarity with orchestration tools like Airflow, Amazon MWAA.
• Knowledge of metadata and data governance platforms e.g., dbt Docs.
• experience implementing Data Mesh concepts
• Hands on exposure to ETL using Snowflake native services
• Hands on exposure to SQL & scripting
• Good understanding of Snowflake Internals and integration of Snowflake with other data processing and reporting technologies
• Good to have experience working with AWS services like –S3, MWAA, lambda etc.
• Work experience with banking clients is an added advantage

Your role:

• Design and implement Data Mesh-aligned Data Products using DBT.
• Develop and maintain DBT models: incremental, table, and view.
• Create and manage DBT snapshots for historical tracking.
• Build and manage Jinja macros to promote reusability and maintainability.
• Implement Slowly Changing Dimensions (SCD) Type 1 and Type 2 using DBT.
• Create and maintain custom materializations for advanced use cases.
• Write Python scripts to support data processing, testing, automation, and integration tasks.
• Work extensively with Snowflake for data transformation, optimization, and performance tuning.
• Manage database objects (schemas, tables, stages) and perform performance tuning within Snowflake.
• Use DBT Cloud for job orchestration, testing, and documentation.
• Use Git for version control and follow CI/CD practices for safe deployment.
• Interact and communicate with the onsite teams directly to understand the requirement and determine the optimum solutions
• Provide product and design level functional and technical expertise along with best practices
• Ability to think clearly, plan effectively, organize and develop action plans leading to resolving problems and achieving specific goals

What we look for

An opportunity to be a part of market-leading, multi-disciplinary team of 1400 + professionals

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

Provides data solutions by using software to process, store, and serve data to others. Tests data quality and optimizes data availability. Ensures that data pipelines are scalable, repeatable, and secure. Builds a deep dive analytical skillset by working with higher level Data Engineers on a variety of internal and external data.

Intermediate Glue, EMR, Redshift, Step Functions, Foundational Services like IAM, Cloud Watch, Cloud formation, Lambda, Secrets Manager, Sagemaker, Pyspark, SQL

Qualifications:

Minimum of three years in data engineering( 3 to 6 years ), Data analytics , programming, database administration, or data management experience.

Graduate degree ( Bachelors Degree , BCA or Masters ) or equivalent combination of training and experience.

Communication & Team Collaboration

• Strong verbal and written communication
• Be highly flexible
• Accountability & E2E ownership

Job Description:

• Writes ETL (Extract / Transform / Load) processes, designs database systems, and develops tools for real-time and offline analytic processing.
• Troubleshoots software and processes for data consistency and integrity. Integrates data from a variety of sources for business partners to generate insight and make decisions.
• Translates business specifications into design specifications and code. Responsible for writing programs, ad hoc queries, and reports. Ensures that all code is well structured, includes sufficient documentation, and is easy to maintain and reuse.
• Partners with internal clients to gain a basic understanding of business functions and informational needs. Gains working knowledge in tools, technologies, and applications/databases in specific business areas and company-wide systems.
• Participates in all phases of solution development. Explains technical considerations at related meetings, including those with business clients.
• Experience building specified AWS cloud architecture and supporting services and technologies (Eg: Glue, EMR, Redshift, Step Functions, Foundational Services like IAM, Cloud Watch, Cloud formation, Lambda, Secrets Manager, Sagemaker).
• Experience building Spark data processing applications (Python, Pyspark).
• Experience with Apache airflow ( + iceberg preferred )
• Experience with SQL development and Tableau Reporting ( Preferred ) .
• Experience leveraging / building Splunk dashboards.
• Experience with CI/CD pipeline tools like Bamboo, Bitbucket, Git hub and Terraform scripts / CFS .
• Tests code thoroughly for accuracy of intended purpose & Regression testing . Reviews end product with the client to ensure adequate understanding. Provides data analysis guidance as required.
• Provides tool and data support to business users and fellow team members.
• Good to have : Experience with test automation and test-driven development practice

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.