Senior Data Engineer / Data Pipeline Architect
Datamatics Technologies (company site, opens in a new tab)5–10 yrsBengaluruOn-siteDirect career pageEst. 15–30 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Lead technical migration and redesign of data pipelines to enhance security with encryption, data retention, and compliance requirements while ensuring existing outputs remain unchanged.
- Drive and establish sustainable engineering processes including testing, code reviews, incident management, and release management for data pipelines.
- Hands-on responsibility for building and modernizing pipelines leveraging Airflow, Spark, dbt, BigQuery, and Python; mentor junior data engineers for long-term pipeline ownership and reliability.
Minimum Requirements
- 5 to 10 years of relevant professional experience in data engineering.
- Deep hands-on expertise with Airflow, Spark, dbt, BigQuery, and Python.
- Proven track record of technically leading at least one full data pipeline migration end-to-end, including refactoring production pipelines without changing outputs.
- Bachelor's degree or equivalent.
Ideal Candidate Profile
- Experienced in combining architectural leadership with hands-on engineering in complex data environments.
- Proven ability to establish and enforce engineering best practices for quality and incident management in data infrastructure.
- Demonstrated mentoring skills with measurable impact fostering independent maintenance and ownership of data pipelines.