Senior Data Engineer

Bajaj Finserv · Financial Services · Property & Casualty Insurance · Python · SQL · C# · ETL/ELT · 12 hours ago
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Salary
≈ $19k – $40k per year (Estimated)
Location
In office (Pune)
Seniority
Senior · 3+ years exp

Confirmed on the employer's own hiring board on Oct 29, 2026. First seen by Alion on Aug 18, 2026.

Overview
Company
Impact
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 Data Engineer with 3-6 years of experience with strong hands-on in cloud, data engineering, event streaming, software development, and emerging AI-assisted engineering practices to build and support scalable real-time data platforms. Duties and Responsibilities

• Event Streaming: Apache Kafka, Azure Event Hubs event processing.

• Azure Cloud: Azure Storage, Cosmos DB, App Service, Functions, Key Vault

• Data Engineering: Databricks, Apache Spark/PySpark, ETL/ELT pipelines, data transformation and data integration.

• Databases: SQL Server, NoSQL databases such as Cosmos DB/MongoDB, and Time-Series databases like Kusto / clickhouse.

• Programming: .NET Core / C#, Python, REST APIs and JSON.

• Containers & Kubernetes: Docker, AKS (Azure Kubernetes Service), ACR (Azure Container Registry) and containerized application deployment is must.

• DevOps & CI/CD: Azure DevOps, Git, CI/CD pipelines, build/release automation and deployment management.

• Architecture: Knowledge of Distributed systems, microservices, event-driven architecture and cloud-native applications.

• AI-Assisted Engineering: Exposure to GitHub Copilot / GitHub Agent, AI-assisted coding, code generation, debugging, test generation and developer productivity tools is a plus.

• AI & Data Engineering: Understanding of Generative AI, LLMs, AI agents, RAG, vector databases and AI-enabled data applications is an advantage. Required Qualifications and Experience

• 3-6 years of relevant experience in Data Engineering / Software Engineering.

• Strong SQL and programming fundamentals.

• Hands-on experience with Azure cloud technologies.

• Practical experience with event streaming and real-time data processing.

• Experience with CI/CD and DevOps practices.

• Good understanding of NoSQL and distributed data systems.

• Exposure to AI-assisted software development and modern developer productivity tools is preferred.

• Strong analytical, debugging and problem-solving skills.

• Ability to work with high-volume, scalable and production-grade data platforms.

Primary Technology Stack

Azure | Kafka / Event Hubs | Databricks | NoSQL | Time-Series DB | .NET Core | C# | Python | AKS | ACR | Docker | Azure DevOps | CI/CD | SQL | GitHub Copilot / Agent | GenAI

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