While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!
Requirement Description:
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Experienced in designing, implementation & testing of highly scalable and cost-efficient AWS based big data ETL/ELT pipeline using PySpark and SQL
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Well-experienced in data warehousing
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Well versed in working with transactional databases
Must have
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Big data engineering technologies like Spark (PySpark)
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Good knowledge of working with Python Programming
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Good knowledge of advanced SQL concepts, Optimization techniques
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Good knowledge of data warehousing, data modeling and concepts like OLAP and OLTP
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Working knowledge with SQL databases like Postgresql, etc. is mandatory
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Good knowledge of Data Migration like bringing on premise database to cloud or one cloud to another
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Understand Architecture Requirements and ensure effective design, development, validation, and support activities.
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Understanding of data based AWS services like Glue, EMR, Lambda, DMS, RDS, S3 etc and basic AWS architecture best practices.
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Knowledge of data pipeline orchestration using Step function or Airflow
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Ability to use the AWS service APIs, AWS CLI, and SDKs to build applications
Good to have
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Knowledge of NoSQL databases like Dynamo can be add on
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Knowledge of BI tools
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Knowledge of working with streaming pipelines
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
