Job Title

Experience: 5 - 11 yearsJob Description:Senior Data Engineer with deep expertise in Scala-based Spark development and end-to-end deployment of data pipelines on Kubernetes cluster, orchestrated via Airflow.The ideal candidate should have a strong software engineering foundation, excellent understanding of distributed systems, proficient in software design, modern project/code structuring skills, with good understanding on CI/CD processes and implementation which enables them to deliver reliable, scalable and robust data solutions.Should have overall experience of minimum 6-8 years with minimum 5Years in Hadoop, Spark.• Exp in Scala, Java, Airflow, Spark on Kubernetes, Yarn, Oozie, Hadoop, Kafka, Spark & Spark Structured Streaming.• Advanced Scala experience (e.g. Functional Programming, using Case classes, Complex Data Structures & Algorithms)• Proficient in developing automated frameworks for unit & integration testing.• Experience with Docker and Helm and related container technologies.Roles & Responsibilities:Design & implement robust, scalable, batch & real-time data engineering solutions using Apache Spark (Scala) & Spark structure streaming.• Architect well-structured Scala projects using reusable, modular, and testable codebases aligned with SOLID principles and clean architecture principles & practices.• Develop, Deploy & Manage Spark jobs on Kubernetes clusters, ensuring resource utilization, fault tolerance, and scalability. • Orchestrate data workflows using Apache Airflow — manage DAGs, task dependencies, retries, and SLA alerts.• Write and maintain comprehensive unit tests and integration tests for Pipelines / Utilities developed.• Work on performance tuning, partitioning strategies, and data quality validation.• Use and enforce version control best practices (branching, PRs, code review) and continuous integration (CI/CD) for automated testing and deployment.• Write clear, maintainable documentation (README, inline docs, docstrings).• Participate in design reviews and provide technical guidance to peers and junior engineers.