Senior Engineer - Data Engineering
ksb· KSB Tech Pvt. Ltd.
About this role
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
Frequently Asked Questions
Is the salary disclosed for the Senior Engineer - Data Engineering position at ksb?
The salary for this Senior Engineer - Data Engineering role at ksb is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Senior Engineer - Data Engineering position at ksb located?
This Senior Engineer - Data Engineering role at ksb is based in Pune. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Senior Engineer - Data Engineering role at ksb full-time or part-time?
This is listed as a Full time position. It is posted as a Senior Engineer - Data Engineering role in the KSB Tech Pvt. Ltd. department at ksb.
Which team or department does the Senior Engineer - Data Engineering at ksb belong to?
This Senior Engineer - Data Engineering position is part of the KSB Tech Pvt. Ltd. department at ksb. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Senior Engineer - Data Engineering position at ksb?
Click the "Apply Now" button on this page. You will be redirected to ksb's official application portal hosted on workday where you can submit your application directly.
When was the Senior Engineer - Data Engineering job at ksb posted?
This Senior Engineer - Data Engineering position at ksb was posted on Jun 2, 2026. Apply as soon as possible — early applications are often reviewed first.
Senior Engineer - Data Engineering
ksb
You'll be redirected to ksb's official application page on Workday.