Data Engineer

Agivant; Pune District, Hyderabad; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Agivant Technologies India Private Limited is hiring for a data engineering role focused on asset rationalization, pipeline migrations and programmatic metadata implementations. The role requires strong Hive, SQL, Python, Airflow and Tableau skills, with hands-on experience in large-scale data platforms and telemetry.

You will work across enterprise dashboards and data pipelines, ensuring observability and adherence to SLAs.

Qualifications

• Hive, SQL, Python, Airflow and Tableau/visualization skills are required.
• Experience querying large distributed datasets and tracing data lineage.

Responsibilities

• Asset Rationalization: migrate or retire legacy dashboards and data pipelines.
• Write programmatic definitions for metric definitions and owner mapping into catalogs via APIs.
• Monitor observability dashboards and resolve escalations within SLAs.

Skills

Hive

Advanced SQL

Python

Airflow

Tableau

Tools

Databricks

PySpark

dbt

Job description

Agivant Technologies India Private Limited | Full time

Pune, Hyderabad, India | Posted on 09/15/2026

Agivant is a new-age AI-First Digital and Cloud Engineering services company that drives Agility and Relevance for our client's success.

Powered by cutting-edge technology solutions that enable new business models and revenue streams, we help our clients achieve their trajectory of growth.

Agility is a core muscle, an integral part of the fabric of a modern enterprise. To succeed in an ever-changing business environment, every modern organization needs to adapt and renew itself quickly. We help foster a more agile approach to business to reconfigure strategy, structure, and processes to achieve more growth and drive greater efficiencies.

Relevance is timeless and is the only way to survive and thrive.

The quest for relevance defines the exponential acceleration of humanity. This has presented us with a slew of opportunities, but also many unprecedented challenges. With technology-led innovation, we help our customers harness these opportunities and address myriad challenges.

Job Description

Mission: Execute massive-scale asset rationalization,pipeline migrations, and programmatic metadata implementations using enterprisequery, 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 metricdefinitions, dimensions, and owner mapping programmatically into centralsemantic catalogs via APIs.
• Data Health Enforcement: Monitor real-time observabilitydashboards and resolve automated escalations regarding pipeline freshness lagsor volume drops within strict SLAs.

Requirements

• 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 datalineage manually through code.

Good 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.