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.

Positive 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.

📌 Data Engineer (Pune)
🏢 Agivant Technologies India
📍 Pune