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Solution Architect - Data Engineer

KSB
Pune, IND
Full-time
Mid
Onsite
Discovered 3 weeks ago
awsdatabricksgitlab-cikafkapythonspark

Full Job Posting

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

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