Data Engineer at Chevron

Bangalore, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

07 Mar, 26

Salary

0.0

Posted On

07 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, ETL Processes, Microsoft Azure, Azure Data Factory, Azure Synapse, Azure Databricks, SQL, Software Engineering, Big Data Technologies, Problem-Solving, Communication, Collaboration, Python, Spark, API Integration, Git

Industry

Oil and Gas

Description

Total Number of Openings 4 About the position: Utilizes software engineering principles to deploy and maintain fully automated data transformation pipelines that combine a large variety of storage and computation technologies to handle a distribution of data types and volumes in support of data architecture design. A Data Engineer designs data products and data pipelines that are resilient to change, modular, flexible, scalable, reusable, and cost effective. Key responsibilities: · Design, develop, and maintain data pipelines and ETL processes using Microsoft Azure services (e.g., Azure Data Factory, Azure Synapse, Azure Databricks, Azure Fabric). · Utilize Azure data storage accounts for organizing and maintaining data pipeline outputs. (e.g., Azure Data Lake Storage Gen 2 & Azure Blob storage). · Collaborate with data scientists, data analysts, data architects and other stakeholders to understand data requirements and deliver high-quality data solutions. · Optimize data pipelines in the Azure environment for performance, scalability, and reliability. · Ensure data quality and integrity through data validation techniques and frameworks. · Develop and maintain documentation for data processes, configurations, and best practices. · Monitor and troubleshoot data pipeline issues to ensure timely resolution. · Stay current with industry trends and emerging technologies to ensure our data solutions remain cutting-edge. · Manage the CI/CD process for deploying and maintaining data solutions. Required Qualifications: · Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience) and able to demonstrate high proficiency in programming fundamentals. * 3-5 years experience · At least 2 years of proven experience as a Data Engineer or similar role dealing with data and ETL processes. · Strong knowledge of Microsoft Azure services, including Azure Data Factory, Azure Synapse, Azure Databricks, Azure Blob Storage and Azure Data Lake Gen 2. · Experience utilizing SQL DML to query modern RDBMS in an efficient manner (e.g., SQL Server, PostgreSQL). · Strong understanding of Software Engineering principles and how they apply to Data Engineering (e.g., CI/CD, version control, testing). · Experience with big data technologies (e.g., Spark). · Strong problem-solving skills and attention to detail. · Excellent communication and collaboration skills. Preferred Qualifications: · Learning agility · Technical Leadership · Consulting and managing business needs · Strong experience in Python is preferred but experience in other languages such as Scala, Java, C#, etc is accepted. · Experience building spark applications utilizing PySpark. · Experience with file formats such as Parquet, Delta, Avro. · Experience efficiently querying API endpoints as a data source. · Understanding of the Azure environment and related services such as subscriptions, resource groups, etc. · Understanding of Git workflows in software development. · Using Azure DevOps pipeline and repositories to deploy and maintain solutions. · Understanding of Ansible and how to use it in Azure DevOps pipelines. 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. Chevron participates in E-Verify in certain locations as required by law. Chevron Corporation is one of the world's leading integrated energy companies. Through its subsidiaries that conduct business worldwide, the company is involved in virtually every facet of the energy industry. Chevron explores for, produces and transports crude oil and natural gas; refines, markets and distributes transportation fuels and lubricants; manufactures and sells petrochemicals and additives; generates power; and develops and deploys technologies that enhance business value in every aspect of the company's operations. Chevron is based in Houston, Texas. More information about Chevron is available at www.chevron.com.

Responsibilities

Design, develop, and maintain data pipelines and ETL processes using Microsoft Azure services. Collaborate with stakeholders to understand data requirements and ensure data quality and integrity.