Senior Data Engineer
Articore Group (company site, opens in a new tab)5+ yrsGurugramOn-siteDirect career pageEst. 18–30 LPA
Posted 8h ago
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Job description
Structured overview of role & requirements
About This Role
- Own production data pipelines and end-to-end data-flow reliability, ensuring timely, high-quality warehouse data and providing operational support during the India business day.
- Build and improve dbt models, Airflow workflows, data models, observability and SLOs; support migrations, data quality, governance and privacy compliance.
- Provide follow-the-sun support with Melbourne and New York teams, while enabling downstream teams to use reliable, well-structured data.
Minimum Requirements
- Work Experience Required: 5+ years building and maintaining production-grade data pipelines in a cloud-native environment; GCP preferred, AWS also accepted.
- Deep proficiency in Python and SQL, with experience in data modeling and API integration.
- Hands-on experience with BigQuery or Snowflake, dbt, and Airflow or a comparable orchestration tool such as Dagster or Prefect.
- Experience handling large-scale datasets using Spark or BigQuery; degree requirements: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- A senior-level data engineer with experience operating production data platforms and prioritizing pipeline reliability, data quality and observability.
- Able to own complex modeling, orchestration and migration work, and improve maintainability through standards, documentation and code reviews.
- Well suited to a globally distributed operating environment requiring India-business-day troubleshooting and clear handovers across time zones.