Years of experience: 5- 10 years
Location: Bangalore
Job 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.
โข Exp in Scala, Java, Airflow, Spark on Kubernetes, Yarn, Oozie, Hadoop, Kafka, Spark & Spark Structured Streaming.
โข Advanced Scala experience (e.g. Functional Programming, using Case classes, Complex Data Structures & Algorithms)
โข Proficient in developing automated frameworks for unit & integration testing.
โข Experience with Docker and Helm and related container technologies.
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