Senior Data Engineer / Data Pipeline Architect
Datamatics Technologies (company site, opens in a new tab)5–10 yrsDelhi NCROn-siteDirect career pageEst. 18–30 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Lead the technical migration and modernization of data pipelines focusing on encryption, data retention, and user data deletion while maintaining existing outputs unchanged.
- Design and implement sustainable engineering processes including testing, code reviews, incident management, and release management.
- Provide architectural leadership combined with hands-on engineering using Airflow, Spark, dbt, BigQuery, and Python; mentor a Data Engineer for long-term pipeline ownership.
Minimum Requirements
- 5 to 10 years of relevant professional experience.
- Deep hands-on experience with Airflow, Spark, dbt, BigQuery, and Python.
- Proven experience leading at least one complete data pipeline migration including refactoring production data pipelines with output verification.
- Bachelor's degree or equivalent.
Ideal Candidate Profile
- Experienced in technical leadership of end-to-end data pipeline migrations with focus on reliability and output consistency.
- Skilled in establishing engineering best practices around testing, code reviews, and incident management for data engineering.
- Able to mentor junior engineers with measurable impact on team ownership and pipeline maintenance.