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• Big data
• Hadoop
• HDFS
• Scala
• Azure
• Hive/Pyspark

• Required 14+ years of experience in Data warehouse, Big data and Hadoop implementation in Azure environment essentially in lead role
• 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 3 responsibilities you would expect the Subcon to shoulder and execute:

1. As an Architect provide various solution option, guide team, resolve complex problem and review delivery
2. Design and development using Python Scala
3. Deliver as per scrum/ Agile methodology

Interview Process (Is face to face required?) No

Does this position require Visa independent candidates only? No