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Must Have Skills:

Hadoop Scala Hive Pyspark Azure HDFS

Detailed Job Description:

Required 8+ years of experience as lead developer with Data warehouse, Big data and Hadoop implementation in Azure environment. Participate in design and implementation of analytics architecture. Experience in working on Hadoop Distribution, good understanding of core concepts and best practices. Good experience in building/tuning Spark pipelines in Python/Java/Scala. Good experience in writing complex Hive queries to drive business critical insights. Understanding of Data Lake vs Data Warehousing concepts. Experience with AWS Cloud, exposure to Lambda/EMR/Kinesis will be good to have. Work with multiple teams, arrive at common decisions, understand architecture principle of organization and provide solution accordingly

Experience required: 5-8 Years

Top responsibilities you would expect the Subcon to shoulder and execute:

As Lead developer, resolve technical queries, develop queries, work with QA and other teams for final implementation. Design and development using Python/Scala. Deliver as per scrum/Agile methodology. Onsite/offshore co - ordination

Interview Process (Is face to face required?) No