Senior Engineer - Data Engineering

KSB Tech Pvt. Ltd.; Pune District; On-site; INR 900,000 - 1,400,000; Full time

Job summary

KSB is seeking a data engineering professional to contribute to scalable data pipelines and a growing data lake. You will develop workflows using Python, Spark, and Databricks and set standards for data engineering.

The role requires 3 years of coding experience and strong cloud, CI/CD, and data governance knowledge. Based in Pune, India, you will collaborate with engineering, analytics, and business partners to ensure data quality and robust data solutions, while advancing automation and

Qualifications

• Bachelor's degree in a related field.
• 3 years of project/coding experience in a company.
• Cloud experience with Databricks, AWS/Azure staging, testing, Git, pipelines.
• Distributed systems, data pipelines.
• Python experience: versioning, packages, environments.
• Change data capture.
• Data engineering experience: SQL partitioning.
• Data structures (tables, relations).
• Lakehouse.

Responsibilities

• Contribute to design and development of scalable data pipelines and a growing data lake.
• Build and extend data processing workflows using Python, Apache Spark, and Databricks.
• Define technical standards, best practices, and reusable frameworks for data engineering.
• Ensure data quality, reliability, performance, and maintainability across data solutions.
• Support data modeling, data integration, and transformation processes for analytics and reporting.
• Drive automation, monitoring, and CI/CD improvements to ensure operational excellence.
• Collaborate across teams as a technical interface between the data platform and engineering, analytics, and business stakeholders.
• Contribute to architecture decisions and long-term data platform strategy.

Skills

Python

SQL

Apache Spark

Databricks

CI/CD

GitLab CI

IaC

AWS

Azure

Kafka

Education

Bachelor's degree in Software Engineering/Math/Physics

Tools

Databricks

GitLab CI

Job description

Key Responsibilities

• Contribute to the design and development of scalable data pipelines and a growing data lake
• Build and extend data processing workflows using Python, Apache Spark, and Databricks
• Define technical standards, best practices, and reusable frameworks for data engineering
• Ensure data quality, reliability, performance, and maintainability across data solutions
• Support data modeling, data integration, and transformation processes for analytics and reporting
• Drive automation, monitoring, and CI/CD improvements to ensure operational excellence
• Collaborate across teams, acting as a technical interface between the data platform and engineering, analytics, and business stakeholders.
• Contribute to architecture decisions and long-term data platform strategy

Your Profile

• Outstanding programming experience, preferably in Python; ability to write clean, testable, production-grade code; able to write clean, testable, production-grade code
• Strong SQL skills and familiarity with structured and semi-structured data formats (JSON, Protobuf, Delta format)
• Hands-on experience with Apache Spark, ideally on Databricks, and understanding of the medallion architecture
• Solid grasp of data lakehouse principles, data modeling, and data governance concepts
• Experience building and maintaining CI/CD pipelines (e.g. GitLab CI); familiarity with IaC and deployment
• Cloud Platforms: Experience with AWS or comparable cloud providers; familiarity with Databricks as a managed Lakehouse platform
• Experience with event-driven architectures or streaming platforms (e.g. Kafka)
• Proven track record deploying, monitoring, and maintaining data pipelines and services in production environments; experience with testing practices
• Able to work autonomously and take ownership of tasks end-to-end
• Clear and concise communicator - comfortable working across engineering and data teams

Education & experieance

• Bachelor's degree in Software Engineering, Mathematics, Physics, or a related field
• 3 years of project/coding experience in a company
• Cloud experience: Databricks, AWS/Azure Staging, testing, Git, pipelines
• Distributed systems, data pipelines
• Python experience: Versioning, package management, requirements/environments
• Change data capture
• Data engineering experience: SQL Partitioning
• Data structures (tables, relations)
• Lakehouse

KSB is a leading supplier of pumps, valves and related service. Our reliable, high-efficiency products are used in applications wherever fluids need to be transported or shut off, covering everything from building services, industry and water transport to waste water treatment, power plant processes and mining. Founded in 1871 in Frankenthal, Germany, the company has a presence on all continents with its own sales and marketing organisations and manufacturing acilities. Around the globe, more than 190 service centres and around 3,500 service specialists are on hand to provide local inspection, servicing, maintenance and repair services under the KSB SupremeServ brand. Innovative technology that is the fruit of KSB's research and development activities forms the basis for the company's success. At KSB, we recognise that it is people who actually make the difference - the people we employ and the people we serve. This is why we are committed to equal rights and treatment worldwide and never lose sight of the aspects ecology and sustainability when manufacturing our products.