About the position:
Chevron is on the lookout for a talented Data Engineer to join our team in India. This role is crucial in deploying and maintaining fully automated data transformation pipelines that combine a large variety of storage and computation technologies to handle the distribution of data types and volumes in support of our data architecture design.
Key Responsibilities:
Utilize software engineering principles to create and manage automated data pipelines in support of Chevron’s overall data enablement strategy
Combine a variety of storage and computational technologies to handle diverse data types and volumes
Support the data architecture design with efficient and scalable data solutions
Collaborate with the digital and the agile team to align data engineering practices with the overall technical strategy
Ensure the integrity, availability, and security of data throughout the transformation process
Required Qualifications:
Minimum 5 years’ experience in deploying and maintaining fully automated data transformation pipelines
Strong background in software engineering with a focus on data pipeline development
Knowledge with computer science and software engineering fundamentals, including APIs
Experience with data transformation and orchestration tools such as Azure Functions, Logic Apps, ADF, Databricks, Synapse, and others
Knowledge of data product development and data modeling, big data computing, and cost optimization
Knowledge of data classification, including legal, sensitive, or confidential information
Experience with a wide range of data storage and computational technologies
Team player with excellent communication skills and a collaborative mindset
Ability to handle various data types and volumes in a distributed environment
Knowledge of data architecture design principles and best practices
Bengaluru, Karnataka
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