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!
Top Skills
What We Do
Quantiphi is an award-winning AI-first digital engineering company driven by the desire to solve transformational problems at the heart of business.
Quantiphi solves the toughest and complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve quantifiable business impact at unprecedented speed.
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