- Company: GitLab
- Location: Bangalore, India
- Job type: Full-time
About the role
GitLab is looking for an Intermediate Data Engineer to join its Data Platform team. In this fully remote position, you will build, run, and maintain the pipelines and infrastructure that bring data from enterprise applications and internal systems into GitLab’s data platform. Your work will support company reporting, data science, and AI self-service. You will report to the Director, Data Platform.
Responsibilities
- Build and maintain ELT pipelines from sources like Salesforce, Zuora, and the GitLab SaaS platform.
- Manage infrastructure including Snowflake, Fivetran, Airflow, and Kubernetes.
- Write maintainable Python and SQL code and review team members’ merge requests.
- Handle day-to-day operations, including triaging failed pipelines and resolving infrastructure issues.
- Partner with Analytics Engineers and Data Scientists to ensure data is ready for downstream use.
- Use AI coding agents to speed up development while maintaining high review standards.
- Apply role-based access control and masking policies to secure data for AI tools.
Requirements
- Professional experience shipping production data pipelines in Python.
- Deep SQL skills and experience with a cloud data warehouse, preferably Snowflake.
- Hands-on experience with ELT or ETL pipelines at scale, including incremental loads and API ingestion.
- Experience with orchestration tools like Airflow and familiarity with dbt and Kimball dimensional modeling.
- Comfort with Git-based workflows, CI/CD, and code review.
- Hands-on experience using AI coding tools in daily work.
- Clear written communication and comfort working asynchronously in a remote environment.
Pay and benefits
- Flexible Paid Time Off.
- Equity Compensation and Employee Stock Purchase Plan.
- Growth and Development Fund.
- Parental Leave.
- Team Member Resource Groups.
How to apply
Apply directly on GitLab’s own careers website. Omadaily never charges job seekers.
