Mission

Execute massive-scale asset rationalization, pipeline migrations, and programmatic metadata implementations using enterprise query, visualization, and telemetry tools to streamline enterprise data operations.

Core Responsibilities

- Asset Rationalization: Execute the migration, consolidation, or retirement of hundreds of legacy enterprise dashboards (Tableau, Power BI) 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.

Tech Stack & Technical Depth

Core Technologies

- Query & Databases: Hive, Advanced SQL,



distributed datasets (Hive / Presto / Trino).
- Programming & Orchestration: Python (for data manipulation), Airflow (or equivalent orchestration tools).
- Visualization & Telemetry: Tableau / Enterprise Visualization tools, telemetry logging.

Requirements

Technical Depth

- Proven hands-on experience querying massive distributed datasets.
- Robust capability to trace complex data lineage manually through code.

Good to Have / Bonus Skills

- Experience with Databricks workflows and PySpark optimization.
- Practical experience integrating automated testing within dbt (data build tool).
- Familiarity utilizing AI coding assistants for rapid SQL script generation and optimization.

📌 Data Engineer (Maharashtra)
🏢 Agivant Technologies India Private
📍 Maharashtra