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