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AWS Data Engineer

2 months ago

bangalore, India Persistent Systems Full time
About Persistent
We are a trusted Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what's next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world including 14 of the 30 most innovative US companies, 80% of the largest banks in the US and India, and numerous innovators across the healthcare ecosystem.
Our growth trajectory continues, as we reported $765.6M for FY22 revenue (35.2% Y-o-Y). Along with our growth, we've onboarded over 4900 new employees in the past year, bringing our total employee count to over 18,500 people located in 19 countries across the globe. Throughout this market leading growth, we've maintained strong employee satisfaction - over 94% of our employees approve of the CEO and 89% recommend working at Persistent to a friend.
For more details please login to develop, and implement data pipelines using AWS native data services or other orchestration tools.
Write efficient SQL queries to extract, transform, and load (ETL) data from various sources into AWS Glue.
Utilize PySpark and Python for complex data processing tasks on large datasets within AWS native data services.
Collaborate with data analysts to understand data requirements and ensure data quality.
Implement data governance practices to ensure data security and compliance.
Monitor and maintain data pipelines for optimal performance and troubleshoot any issues.
Develop and maintain unit tests for data pipeline code.
Work collaboratively with other engineers and data professionals in an Agile development environment.
Work with data scientists and ML architects to prepare the data for modules to consume.
Developing Modern Data Warehouse solutions using AWS Stack
Coding complex Spark (Scala or Python) and T-SQL
Proficient in a source code control system such as GIT
Ability to design the solutions using AWS data services.
Manage the governance within the team- track the productivity and quality of team members and report the overall progress to customer periodically.
Provide technology leadership to team, provide them technical guidance and support, solve the blockers.
Define work breakdown structure and estimates for big work items.
Preferred Skills & Experience:
Good knowledge of PySpark & working knowledge of Python
Full stack AWS Data Engineering skills
Experience with large dataset handling
Exposure to DevOps Basics.
Exposure to Basics of Release Engineering.