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Full Stack Software Engineer (Data Pipelines)

Chevron · Bengaluru

New
Senior 🇬🇧 English
Microsoft Azure Azure Data Factory Azure Synapse Azure Databricks Azure Blob Storage Azure Data Lake Storage Gen 2 SQL PySpark Git Azure DevOps Ansible Parquet Delta Avro

Job description

About the role

Chevron's Engineering and Innovation Excellence Center (ENGINE) in Bengaluru brings together the resources and expertise of the Chevron global network with talent in India to enhance agility and technological innovation for energy challenges. The role involves designing, developing and maintaining data pipelines and ETL processes using Microsoft Azure services, working with data scientists, analysts and architects to deliver high-quality data solutions.

Key responsibilities

  • Design, develop and maintain data pipelines and ETL processes using Microsoft Azure services (Azure Data Factory, Azure Synapse, Azure Databricks, Azure Fabric).
  • Use Azure data storage accounts such as Azure Data Lake Storage Gen 2 and Azure Blob storage for pipeline outputs.
  • Collaborate with data scientists, analysts and architects to understand data requirements and deliver data solutions.
  • Optimize pipelines for performance, scalability and reliability, and ensure data quality through validation techniques.
  • Maintain documentation of data processes, configurations and best practices, and manage the CI/CD process for deployment.
  • Monitor and troubleshoot pipeline issues and stay current with emerging technologies.

Required profile

  • Bachelor's degree in Computer Science, Engineering or a related field (or equivalent experience) with 5-7 years of experience.
  • At least 2-8 years of experience as a Data Engineer or similar role handling data and ETL processes.
  • Strong knowledge of Microsoft Azure services and SQL DML queries on modern RDBMS (e.g., SQL Server, PostgreSQL).
  • Understanding of software engineering principles applied to data engineering (CI/CD, version control, testing).
  • Experience with big data technologies such as Spark; strong problem-solving, communication and collaboration skills.

Preferred qualifications

  • Python, PySpark, Parquet, Delta, Avro and API-based data sources.
  • Azure subscriptions and resource groups, Git workflows, Azure DevOps pipelines and Ansible.

Working hours are Monday to Friday, 8:00am to 5:00pm or 1:30pm to 10:30pm, aligned to business requirements. Chevron does not sponsor visas or consider time-limited visa holders. Benefits include structured learning, mentorship, a collaborative workplace and comprehensive benefits covering health and work-life balance.

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Published 10 hours ago

Expires 1 month from now

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Chevron

Bengaluru