Senior Data Engineer

Bajaj Finserv • Financial Services • Property & Casualty Insurance • Bachelor's Degree • Python • SQL • Power BI • 1 day ago

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Salary

≈ $21k – $42k per year (Estimated)

Location

In office (Pune)

Seniority

Senior

Confirmed on the employer's own hiring board on Oct 24, 2026. First seen by Alion on Jul 15, 2026. Bajaj Finserv scores B on the Alion truth index.

Overview

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Profile match

Bajaj Finserv

Bajaj Finserv is one of India’s leading financial services conglomerates, dedicated to empowering millions of retail and commercial clients. Through its diverse subsidiaries, the company delivers a comprehensive portfolio of consumer financing, life and general insurance, asset management, and digital payment solutions. Headquartered in Pune, Maharashtra, the enterprise operates an extensive nationwide distribution network to advance financial wellness and inclusion across the country.

bajajfinserv.in • HQ: Pune, India • Financial Services • Property & Casualty Insurance • Consumer Loans & Pawnshops • 1001-5000 employees • Est. 2007

Tech stack of Bajaj Finserv

Job Purpose

We are looking for a highly motivated Senior Data Engineer to join our team. The successful candidate who knows data bricks/SQL/PySpark/Power BI/ADF. The Data Engineer will be responsible for designing, building, and maintaining the data infrastructure that supports our data bricks. The ideal candidate will have a strong background in data management and be well-versed in the latest data engineering technologies. Duties and Responsibilities

• Design and implement data pipelines to support the data bricks/data lakehouse

• Test and validate data integrity in the lakehouse

• Develop data pipeline for data extractions (ADF)

• Optimize data query/pipeline performance

• Good understanding of Financial service domains and understanding of data

• Stay current with the latest data engineering technologies and best practices Required Qualifications and Experience

Required Experience & Skills

• Developing and managing data bricks/ADF/Power BI/Microsoft Fabric

• Strong experience in data management and data engineering and data modelling

• Proficient in SQL and one or more programming languages such as Python or Pyspark

• Experience with cloud-based data lakehouse technologies such as AWS Lake Formation, Azure Data Lake Storage, or Google BigQuery

• Strong problem-solving and analytical skills

• Excellent communication and collaboration skills

• Bachelor's degree in computer science, engineering, or a related field

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