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Common mid-level data engineer role in Gurgaon with broad stack attracts many qualified applicants.
Pipeline, Airflow, Python and cloud skills are highly transferable across industries.
Explicit 3–6 years requirement plus mandatory production Python, SQL and Airflow skills enforce strict shortlisting.
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Own production data pipelines that automate client payroll operations impacting revenue visibility and operational efficiency.
Instrument telemetry for real-time revenue tracking by operators, shifting from monthly to daily visibility.
Automate end-to-end manual workflows with measurable proof of time saved.
3 to 6 years of relevant experience in data engineering or delivery engineering.
Proficiency in production Python and SQL, including experience resolving issues in live environments.
Experience with Airflow or similar ETL/ELT orchestration platforms in production.
Familiarity with APIs, webhooks, and systems integration for automation purposes.
Experienced in building and maintaining automated, scalable data pipelines with a focus on operational impact and reliability.
Comfortable working with telemetry and monitoring tools to provide actionable business insights.
Skilled at technical problem-solving during code reviews and able to articulate trade-offs and improvements effectively.