Senior Data Engineer

Chevron Corp.

Bengaluru

On-site

INR 2,000,000 - 3,600,000

Full time

3 days ago
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Job summary

Chevron ENGINE in Bengaluru, India, invites a senior data engineer with 6-8 years of experience to design, develop and maintain enterprise-scale data platforms using the Microsoft Azure ecosystem. You will build data pipelines with Azure Data Factory, Synapse, Fabric, and Data Lake, and craft scalable ETL/ELT processes across enterprise sources.

You will optimize data models for reporting, analytics, and AI/ML use cases, ensure data quality, governance and security, and collaborate with

Qualifications

  • Experience with Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics and Microsoft Fabric.
  • Strong SQL and data modeling skills for enterprise data platforms.
  • Proficiency in ETL/ELT design and implementation.
  • Python and/or Spark for data processing and automation.
  • Knowledge of data governance, security, and access control frameworks.

Responsibilities

  • Design, develop, and maintain enterprise data pipelines using Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric, and Azure Data Lake.
  • Build scalable ETL/ELT frameworks to ingest, transform, and process data from multiple enterprise sources.
  • Develop and optimize data models for analytics, reporting, and AI/ML use cases.
  • Integrate data from APIs, databases, cloud platforms, and enterprise applications such as ServiceNow, SAP, and other systems.
  • Ensure data quality, lineage, governance, security, and compliance across the data platform.
  • Implement performance tuning and optimization for large-scale datasets and data processing workloads.
  • Collaborate with business, analytics, and engineering teams to design reliable and scalable data solutions.
  • Support DevOps and CI/CD practices for data platform deployment and lifecycle management.

Skills

Azure Data Factory
Azure Data Lake Storage
Azure Synapse Analytics
Microsoft Fabric
Azure SQL Database
Advanced SQL
ETL/ELT design
Python
Spark
Data warehousing
Lakehouse
APIs integration
Data governance
CI/CD
Git

Job description

Chevron Engineering and Innovation Excellence Center (ENGINE) in Bengaluru India brings together the resources and expertise of the Chevron global network with talent in India to enhance agility and technological innovation to optimize solutions for the world’s current and future energy challenges.As one of the leading energy providers worldwide, Chevron is involved in the production of crude oil and natural gas, manufacturing of transportation fuels, lubricants, petrochemicals, and additives, and the development of enabling technologies.

Chevron's vision is to be the global energy company most admired for its people, partnerships, and performance. With a clear purpose to develop affordable, reliable, ever-cleaner energy that enables human progress, we believe human ingenuity has the power to solve any challenge and overcome any obstacle. Meeting the world’s growing energy needs requires the pursuit of innovations and advancements that deliver a better future for all.

Role Overview

We are looking for a seniordata engineer with 6-8 years of experience

in designing, developing, and maintaining enterprise-scale data platforms leveraging the Microsoft Azure ecosystem. The role requires expertise in data integration, data transformation, cloud-native data architectures, and data governance to enable reliable, secure, and scalable analytics solutions across the enterprise.

Experience with visualization and reporting tools such as Power BI is preferred at a familiarity level to support collaboration with analytics and business intelligence teams.

Key Responsibilities
  • Design, develop, and maintain enterprise data pipelines using Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric, and Azure Data Lake.

  • Build scalable ETL/ELT frameworks to ingest, transform, and process structured and unstructured data from multiple enterprise sources.

  • Develop and optimize data models for enterprise reporting, analytics, and AI/ML use cases.

  • Integrate data from APIs, databases, cloud platforms, and enterprise applications such as ServiceNow, SAP, and other business systems.

  • Ensure data quality, lineage, governance, security, and compliance across the data platform.

  • Implement performance tuning and optimization for large-scale datasets and data processing workloads.

  • Collaborate with business, analytics, and engineering teams to design reliable and scalable data solutions.

  • Support DevOps and CI/CD practices for data platform deployment and lifecycle management.

Required Skills

  • Strong experience with Azure Data Engineering services:

  • Azure Data Factory

  • Azure Data Lake Storage

  • Azure Synapse Analytics / Microsoft Fabric

  • Azure SQL Database

  • Advanced SQL and data modelling skills.

  • Experience in ETL/ELT design and implementation.

  • Python and/or Spark for data processing and automation.

  • Data warehousing and lakehouse architecture concepts.

  • Experience integrating APIs and enterprise data sources.

  • Knowledge of data governance, security, and access control frameworks.

  • Experience working with Git, CI/CD, and cloud-native deployment practices.

Good to Have

  • Familiarity with Power BI or other data visualization platforms.

  • Experience with Databricks, AI/ML, predictive analytics, or real-time streaming architectures.

  • Exposure to Power Apps, Power Automate, and low-code platforms.

  • Experience with industrial, operational technology (OT), or enterprise asset management data domains.

Chevron ENGINE supports global operations, supporting business requirements across the world. Accordingly, the work hours for employees will be aligned to support business requirements. The standard work week will be Monday to Friday. Working hours are 8:00am to 5:00pm or 1.30pm to 10.30pm.

What we can offer you

Everything we do at Chevron is guided by our values and our commitment to The Chevron Way.

Have the opportunity to take part in world-leading energy projects, advance your professional development and expand your career within an inclusive and collaborative workplace.

  • Join a workplace where innovation, collaboration and safety are at the core of how we work.

  • Work in thoughtfully designed environments that support focus, well-being, and innovation enhanced by digital tools that enable seamless collaboration.

  • Grow through structured learning, mentorship, and opportunities to contribute to impactful projects that align with Chevron’s values and business priorities.

  • Access comprehensive benefits that support your health, well-being, and work-life balance.

  • Engage with emerging technologies and digital solutions that are shaping the future of energy and enterprise.

Chevron regrets that it is unable to sponsor employment Visas or consider individuals on time-limited Visa status for this position.

“ENGINE” refers to the Chevron Engineering and Innovation Excellence Center, which operates under Chevron Global Technology and Services Private Limited, an affiliate of Chevron Corporation. References to ENGINE in this document are for convenience only and do not denote a separate legal entity.

This job advertisement is intended to provide a general overview of the role and workplace environment. Role details and outcomes may vary based on business needs and individual performance.

Chevron participates in E-Verify in certain locations as required by law.

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