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• Big data
• Hadoop
• HDFS
• Scala
• Azure

• 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 the 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 decision understand architecture principle of organization and provide solution accordingly

Minimum years of experience: 5 - 8 years

Certifications Needed: No

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

• As Lead developer provide resolve technical queries, develop queries, work with QA and other team 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

Does this position require Visa independent candidates only? No