Customer Tech-proactive-salesforce-technical Lead-gds jobs at Ey in India, Kolkata

Job Title: Senior Leader – Oil and Gas Domain

Position Overview: We are seeking a highly experienced leader with over 25 years of expertise in the Oil and Gas sector, particularly within the consulting industry. The ideal candidate will be responsible for driving strategic initiatives, developing AI use cases, and enhancing our solutions and assets to deliver exceptional value to our clients.

Key Responsibilities:

• Lead and manage client engagements in the Oil and Gas sector, focusing on AI/Gen AI strategy and implementation.
• Develop and execute innovative AI/Gen AI use cases in AI, Gen AI and Agentic AI that align with client needs and industry trends.
• Oversee the application of technologies in AI, Gen AI and Agentic AI to improve operational efficiency and business outcomes.
• Collaborate with cross-functional teams to build and enhance solutions and assets tailored to client requirements.
• Drive talent management initiatives, including recruitment, training, and development of high-performing teams.
• Establish and maintain strong relationships with key stakeholders, including clients, partners, and industry leaders.
• Stay abreast of industry developments, emerging technologies, and regulatory changes to inform strategic decision-making.
• Mentor and guide junior team members, fostering a culture of continuous learning and improvement.
• Lead the development and implementation of data/AI governance frameworks to ensure data quality, integrity, and security.
• Advocate for the use of on-prem/cloud-based AI, Gen AI and Agentic AI solutions to enhance data processing capabilities, enabling real-time analytics and improved business outcomes.
• Monitor and evaluate the effectiveness of AI initiatives, providing insights and recommendations for continuous improvement.
• Encourage a culture of innovation by identifying opportunities for generative AI applications within the Oil and Gas sector, driving new service offerings and business models. Collaborate with data scientists and analysts to identify and prioritize data-driven opportunities that enhance client outcomes. Advocate for the integration of advanced analytics and machine learning techniques into client solutions to drive innovation.
• Continuously monitor changes in industry standards, adapting and advising clients on strategies and practices to ensure ongoing compliance and risk management.

Qualifications:

• 25+ years of experience in the Oil and Gas sector, with a strong background in consulting.
• Proven track record of successfully leading large-scale projects and initiatives in Data/AI strategy and implementation.
• Deep understanding of the Oil and Gas industry landscape, including regulatory requirements and industry challenges.
• Strong analytical and problem-solving skills, with the ability to translate complex concepts into actionable strategies.
• Excellent communication and interpersonal skills, with the ability to engage and influence stakeholders at all levels.
• Demonstrated leadership capabilities, with a focus on talent development and team building.
• Advanced degree in a relevant field is preferred.
• Demonstrated thought leadership with Research publications and/or books, patents, if any, are preferred.

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 Summary:

The role is responsible for ODC end-to-end technological experiences, which at a high level includes:

• Create the product vision and strategy and align with key stakeholders.
• Be the voice of the customer to cross-functional product development teams
• Manage the entire product lifecycle from strategic planning to tactical execution.
• Seeks feedback on use of product and features to ensure a human centered approach towards a frictionless environment
• Builds and maintains relationships with facilities stakeholders
• Partner with engineering teams to deliver on the product roadmap.
• Develop and maintain quality assurance processes to deliver high-quality solutions.
• Establish goals and review metrics to measure the success and identify areas of improvement.
• Managing vendors and internal teams that support the product, to ensure optimal service
• Assisting in and planning the portfolio’s financials and TCO

Essential Functions of the Job

The Product Manager will:

• Support the ODC technology team in financial aspects, including budgeting, procurement and managing independence and privacy reviews.
• Create metrics to demonstrate the product's business value.
• Align roadmaps with other Product Managers to optimize the user experience.
• Prepare business change materials and industrialize the product.
• Plan, budget, and sponsor the investment portfolio to deliver new product features.
• Prepare business change materials and industrialize the product

Knowledge and Skills Requirements:

• History of working credibly with diverse stakeholders up-to Partnership level
• Adapts personal communication style to the style of others, develops rapport and stays calm under pressure or when escalating issues
• Strong verbal and written English
• Ability to work with people and vendors in a variety of cultures, countries and time zones
• Able to utilize Emotional Intelligence to navigate the interactions and complexities of the business environment and drive leadership performance in oneself and in others
• Proven experience in product management
• Experience in diverse technology consulting environments
• A firm grasp of Innovation environments, User Experience and Technology Infrastructure
• Passionate, committed and determined
• Required Technical Skills
• Expertise in IT Service Management (ITSM) frameworks such as ITIL.
• Strong understanding of IT infrastructure, software development, and ODC specific networking (VPNs, MPLS, SD WAN etc.) and delivery methodologies.
• Deep understanding of IT Networking, Cloud and various types of VPN solutions
• Familiarity with Windows based desktop and virtualization solutions

Other Requirements:

• The role has a global scope and requires periodic early or late meetings to support global stakeholders and to manage escalated issues. Some minimal travel may be required to support planned activities.

Education:

• Bachelor’s degree in Computer Science, Information Technology or any related field.

Experience:

• Approximately 3 years of experience as a Technical Product Manager role and 8+ years in Information Technology roles

Certification Requirements:

• ITIL Foundation
• Agile/Product certifications strongly desired

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

• Develop and deploy data lakehouse pipelines in a cloud environment using AWS and Databricks services.
• Design and implement end-to-end ETL/ELT workflows using Databricks (PySpark, Delta Lake, DLT) and AWS native services such as S3, Glue, Lambda, and Step Functions.
• Migrate existing on-premises ETL workloads to the AWS + Databricks platform with optimized performance and cost efficiency.
• Interact with business and technical stakeholders, understand their data goals, and translate them into scalable, governed solutions.
• Design, optimize, and monitor Spark jobs and SQL models for faster execution and high throughput.
• Implement and manage Unity Catalog for metadata, lineage, and fine-grained access control across workspaces.
• Participate in data architecture reviews, DevOps automation, and CI/CD deployments for Databricks workflows.
• Collaborate closely with data analysts, BI developers, and data scientists to ensure reliable, high-quality data delivery.

Skills and attributes for success

• Overall 4+ years of IT experience with 2+ years of relevant experience in Databricks and AWS cloud-based data engineering.
• Strong hands-on experience in Databricks (PySpark, Delta Lake, Delta Live Tables, Unity Catalog).
• Practical knowledge of AWS services such as S3, Glue, Lambda, Step Functions, CloudWatch, and Redshift.
• Experience working with structured and semi-structured data formats (CSV, JSON, Parquet, XML).
• Good understanding of ETL orchestration using Databricks Workflows, Airflow, or Step Functions.
• Familiarity with metadata-driven ingestion frameworks and medallion architecture (Bronze, Silver, Gold) design principles.
• Solid experience in Python, PySpark, and SQL for data transformation and validation.
• Knowledge of CI/CD practices and version control (GitHub, Azure DevOps, Jenkins).
• Excellent analytical, troubleshooting, and problem-solving skills.
• Ability to work independently, interact with stakeholders, and deliver high-quality solutions under minimal supervision.

To qualify for the role, you must have

• A Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
• 4–7 years of industry experience in data engineering or data architecture roles.
• Proven working experience in AWS Databricks environment with production-grade data pipelines.
• Working knowledge of Agile/Scrum methodologies and data delivery lifecycle.
• Strong communication skills (both written and verbal) and ability to present complex solutions clearly.
• Flexible, proactive, and self-motivated working style with strong ownership of problem resolution.
• Experience across all phases of data solution delivery lifecycle – analysis, design, development, testing, deployment, and support.

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

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:

• Design, build, and maintain scalable and efficient data pipelines using Databricks and Python.
• Develop ETL processes that ingest and transform data from various sources into a structured and usable format.
• Collaborate with cross-functional teams to gather requirements and deliver data engineering solutions that support business objectives.
• Write and optimize Python scripts for data extraction, transformation, and loading tasks.
• Ensure data quality and integrity by implementing best practices and standards for data engineering.
• Monitor and troubleshoot ETL processes, performing root cause analysis and implementing fixes to improve performance and reliability.
• Document data engineering processes, creating clear and concise technical documentation for data pipelines and architectures.
• Stay current with industry trends and advancements in data engineering technologies and methodologies.

Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Minimum of 3-5 years of experience in data engineering, with a focus on Databricks and Python scripting for ETL implementation.
• Strong understanding of data warehousing concepts and experience with SQL and NoSQL databases.
• Proficiency in Python and familiarity with data engineering libraries and frameworks.
• Experience with cloud platforms (e.g., AWS, Azure) and big data technologies is a plus.
• Excellent problem-solving skills and attention to detail.
• Ability to work independently and as part of a collaborative team.

Working Conditions:

• Innovative and dynamic work environment with a strong emphasis on delivering high-quality data solutions.
• Opportunity to work with a diverse team of data professionals and contribute to impactful projects.

Key Responsibilities:

• Design, build, and maintain scalable and efficient data pipelines using Databricks and Python.
• Develop ETL processes that ingest and transform data from various sources into a structured and usable format.
• Collaborate with cross-functional teams to gather requirements and deliver data engineering solutions that support business objectives.
• Write and optimize Python scripts for data extraction, transformation, and loading tasks.
• Ensure data quality and integrity by implementing best practices and standards for data engineering.
• Monitor and troubleshoot ETL processes, performing root cause analysis and implementing fixes to improve performance and reliability.
• Document data engineering processes, creating clear and concise technical documentation for data pipelines and architectures.
• Stay current with industry trends and advancements in data engineering technologies and methodologies.

Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Minimum of 8-10 years of experience in data engineering, with a focus on Databricks and Python scripting for ETL implementation.
• Strong understanding of data warehousing concepts and experience with SQL and NoSQL databases.
• Proficiency in Python and familiarity with data engineering libraries and frameworks.
• Experience with cloud platforms (e.g., AWS, Azure) and big data technologies is a plus.
• Excellent problem-solving skills and attention to detail.
• Ability to work independently and as part of a collaborative team.

Working Conditions:

• Innovative and dynamic work environment with a strong emphasis on delivering high-quality data solutions.
• Opportunity to work with a diverse team of data professionals and contribute to impactful projects.

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.

Cognite Data Fusion Engineer / Consultant

Oil & Gas / Energy / Manufacturing / Industrial Digital Transformation

Key Responsibilities:

• Design, implement, and optimize data pipelines in Cognite Data Fusion (CDF) using Python SDK or CDF APIs
• Build and maintain data models (Asset Hierarchies, Time Series, Events, Files, Relationships) in CDF
• Ingest and contextualize data from OT systems (e.g., PI System, SCADA/DCS), IT systems (SAP PM, IBM Maximo), and engineering data
• Develop and orchestrate transformations using CDF Transformations (SQL / PySpark)
• Collaborate with SMEs and data scientists to develop use cases such as predictive maintenance, asset performance monitoring, and digital twins
• Implement access control, data lineage, and quality checks aligned with governance requirements
• Create dashboards, apps, or integrations using CDF’s APIs, Power BI, Grafana, or other front-end tools
• Work with Cognite’s capabilities such as Cognite Functions, Data Sets, CDF Charts, and Industrial Canvas

Must Have:

• 4+ years of experience in data engineering or industrial data platforms
• Proven experience working with Cognite Data Fusion – SDK, APIs, or Fusion Workbench
• Strong skills in Python, SQL, and cloud data tools (Azure preferred)
• Understanding of industrial asset structures, time series data, maintenance logs, and equipment metadata
• Experience with data integration tools and protocols (OPC UA, Modbus, REST, MQTT, PI AF)
• Familiarity with industry verticals like Oil & Gas, Chemicals, Power Generation, or Manufacturing
• Excellent problem-solving, communication, and client engagement skills

Good to have:

• Experience with data visualization tools: Power BI, Grafana, Plotly, etc.
• Knowledge of cloud platforms (Azure, AWS, GCP) and infrastructure as code (Terraform, ARM)
• Prior experience with Cognite’s packaged solutions or apps (Asset Data Insight, Reliability, Integrity, etc.)
• Cognite Certifications (CDF Foundation / Developer / Architect) a strong plus

Job Summary:

MDM Hub).

This role involves architecting and developing MDM solutions, managing data quality, and ensuring data governance practices across the enterprise.

Key Responsibilities:

• Design, develop, and implement end-to-end MDM solutions using Informatica MDM platform.
• Configure Data Models, Match & Merge rules, Hierarchies, Trust Framework , and workflows.
• Collaborate with business stakeholders, data architects, and developers to gather and analyse requirements.
• Perform data profiling, cleansing, standardization, and validation for master data domains.
• Implement data governance and stewardship workflows for maintaining data quality.
• Monitor MDM performance, manage error handling and system tuning.
• Prepare and maintain technical documentation, deployment guides , and support materials.
• Provide technical support and troubleshooting during and post-deployment.
• Stay up to date with Informatica MDM product updates, industry trends, and best practices.

Required Qualifications:

• 3-7 years of experience in Informatica MDM development and implementation .
• Strong understanding of MDM architecture, data modelling, and metadata management .
• Hands-on experience with Informatica MDM Hub, e360, IDD, SIF, MDM Provisioning Tool , and ETL/ELT .
• Experience with data quality tools (Informatica DQ or others) and MDM integration patterns .
• Understanding of data governance principles and master data domains (customer, product, vendor, etc.).
• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder engagement skills.

Preferred Qualifications:

• Informatica MDM certification(s).
• Experience with IDMC MDM – MDM SaaS
• Familiarity with data governance platforms (e.g., Collibra, Informatica Axon).
• Exposure to Agile/Scrum delivery methodologies.
• Experience in large-scale MDM implementations in domains like Retail, Manufacturing, Healthcare, or BFSI.

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.