Data Engineer
Pune, Hyderabad, Maharashtra, India
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- Salary not listed in the saved posting
- Work setup
- Unconfirmed
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- Unconfirmed
Tools in this posting
- Python
- SQL
- Databricks
- dbt
- Hive
- Power BI
- Tableau
- Airflow
- PySpark
- Trino
Source — Tool mentions in context
Mission: Execute massive-scale asset rationalization, pipeline migrations, and programmatic metadata implementations using enterprise query, visualization, and telemetry tools. Core Responsibilities: • Asset Rationalization: Execute the migration, consolidation, or retirement of hundreds of legacy enterprise dashboards (Tableau, PowerBI) and data pipelines based on strict usage telemetry. • Programmatic Definitions: Write code that pushes metric definitions, dimensions, and owner mapping programmatically into central semantic catalogs via APIs. • Data Health Enforcement: Monitor real-time observability dashboards and resolve automated escalations regarding pipeline freshness lags or volume drops within strict SLAs. Requirements Tech Stack & Depth: • Core: Hive, Advanced SQL, Python for data manipulation, Airflow (or similar orchestration), Tableau / Enterprise Visualization tools. • Depth: Hands-on querying of massive distributed datasets (Hive/Presto/Trino) and telemetry logging. Must know how to trace complex data lineage manually through code. Good to Have / Bonus Tech Stack: • Experience with Databricks workflows and PySpark optimization. • Integrating automated testing in dbt. • Utilizing AI coding assistants for rapid SQL script generation and optimization.
Posting record
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- No longer listed
- First seen by us
- Sep 17, 2026 · 29d ago
- Recorded sightings
- 11
- Last seen by us
- Oct 9, 2026
- Employer says posted
- Sep 15, 2026
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Job description
Mission: Execute massive-scale asset rationalization, pipeline migrations, and programmatic metadata implementations using enterprise query, visualization, and telemetry tools. Core Responsibilities: • Asset Rationalization: Execute the migration, consolidation, or retirement of hundreds of legacy enterprise dashboards (Tableau, PowerBI) and data pipelines based on strict usage telemetry. • Programmatic Definitions: Write code that pushes metric definitions, dimensions, and owner mapping programmatically into central semantic catalogs via APIs. • Data Health Enforcement: Monitor real-time observability dashboards and resolve automated escalations regarding pipeline freshness lags or volume drops within strict SLAs. Requirements Tech Stack & Depth: • Core: Hive, Advanced SQL, Python for data manipulation, Airflow (or similar orchestration), Tableau / Enterprise Visualization tools. • Depth: Hands-on querying of massive distributed datasets (Hive/Presto/Trino) and telemetry logging. Must know how to trace complex data lineage manually through code. Good to Have / Bonus Tech Stack: • Experience with Databricks workflows and PySpark optimization. • Integrating automated testing in dbt. • Utilizing AI coding assistants for rapid SQL script generation and optimization.
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- Location & working pattern
Pune, Hyderabad, Maharashtra, India
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