Job Information
Insight Global Mid Level Data Engineer (India) in Irvine, California
Job Description
We are looking for a MidLevel Data Engineer with 4–7 years of experience in data engineering and should have professional experience in GCP for at least 1–2 years. The ideal candidate should have good expertise in building cloud data pipelines / engineering solutions. The candidate should be capable of taking ownership of tasks and work flexibly in a dynamic environment.
Key Responsibilities
• Build and maintain data pipelines using GCP services such as Cloud Run, Cloud Functions, and Composer (Airflow), PubSub, BigQuery.
• Develop efficient data ingestion, transformation, and orchestration workflows.
• Collaborate with cross functional teams to understand data requirements and deliver solutions.
• Take ownership of assigned tasks and ensure timely delivery with good quality.
Troubleshoot issues in data pipelines and optimize for performance and reliability.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Skills and Requirements
• 4–7 years of overall experience.
• Minimum 1–2 years of professional experience with GCP.
• Strong command of Python and SQL (mandatory).
• Understanding of data pipeline concepts, ETL/ELT, and cloud architectures.
• Good analytical and problem solving skills.
• Ability to work independently and as part of a team.
• Exposure to BigQuery, Pub/Sub, or other cloud data tools.
Experience with version control, CI/CD.