Intermediate Data Engineer
New
G
GitLabData platform
Location: Bangalore, IndiaFull-TimeMiddle
Salary not disclosed
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Job Details
- Required Skills
- PythonSQLSnowflakeAirflowdbt
Requirements
- Professional experience shipping production data pipelines in Python.
- Deep, hands-on SQL skills and experience with a cloud data warehouse; Snowflake is preferred.
- Hands-on experience with ELT or ETL pipelines at scale, including incremental loads, schema changes, backfills, and API ingestion.
- Experience with orchestration tools such as Airflow.
- Familiarity with dbt and solid data modeling fundamentals, including Kimball dimensional modeling.
- Experience running and troubleshooting data infrastructure.
- Comfort using Git-based workflows, CI/CD, and code review.
- Hands-on experience using AI coding tools in daily work and understanding their strengths and limitations.
- Clear written communication, ability to use GitLab, and comfort working asynchronously in a fully remote organization.
- Preferred: Docker, Kubernetes, GCP, Terraform, SaaS application APIs such as Salesforce, Zuora, or Zendesk, data observability tooling, or Snowflake administration.
Responsibilities
- Build and maintain ELT pipelines from enterprise applications, internal systems, and the GitLab SaaS platform.
- Integrate data through APIs and event sources such as Snowplow.
- Manage platform infrastructure and tools including Snowflake, Fivetran, Monte Carlo, Airflow, and Kubernetes.
- Write and review maintainable, tested, performant Python and SQL code.
- Triage and resolve pipeline failures, infrastructure issues, and team member requests.
- Use monitoring, SLAs, data contracts, tuning, and data quality checks to maintain platform reliability and cost efficiency.
- Partner with Analytics Engineers, Data Analysts, Data Scientists, Data Governance, and business partners on downstream data needs.
- Use AI coding agents for development, debugging, testing, and documentation while maintaining review rigor.
- Apply RBAC and masking policies to govern data access for AI tools and agents.
- Ship medium-sized features independently and document architecture and runbooks.
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