Senior Data Engineer

KSB; Pune District; On-site; INR 800,000 - 1,200,000; Full time

Job summary

KSB is seeking a Lead Data Engineer to design, build, and scale modern data solutions. The role involves providing technical leadership for data architecture, data pipelines, and cloud-based analytics platforms.

Applicants should have strong programming experience in Python, SQL, and familiarity with tools like Apache Spark and Databricks, along with a Bachelor's degree in a relevant field and 3 years of coding experience.

The position is in Maharashtra, India, with a focus on collaboration across engineering, analytics, and business teams.

Qualifications

• 3 years of project/coding experience in a relevant field.
• Hands-on experience with cloud platforms like AWS or Azure.
• Proven track record of building and maintaining data pipelines.

Responsibilities

• Design and develop scalable data pipelines and data lake.
• Build data processing workflows using Python and Apache Spark.
• Ensure data quality and performance across data solutions.

Skills

Python programming

SQL

Apache Spark

Data engineering

CI/CD pipelines

Data lakehouse principles

Education

Bachelor's degree in Software Engineering

Tools

Databricks

AWS

GitLab CI

Job description

About the Role

We are looking for a Lead Data Engineer to take ownership of designing, building, and scaling modern data solutions. In this role, you will provide technical leadership across data architecture, data pipelines, and cloud-based analytics platforms. You will work closely with engineering, analytics, product, and business teams to ensure reliable, high-quality, and accessible data across the organization.

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 & Experience

• 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