Job Summary

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

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

- 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

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

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 (Pune)
🏢 Agivant Technologies
📍 Pune