Mission: Execute massive-scale asset rationalization, pipeline migrations, and programmatic metadata implementations using enterprise query, visualization, and telemetry tools.
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
- 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.
- Valuable 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.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
📌 Data Engineer (Hyderabad)
🏢 Agivant Technologies
📍 Hyderabad
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