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.

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.

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