Designing, implementing, and maintaining jobs written in PySpark for extracting raw data, applying transformation, and writing into file/tables on Apache Spark cluster.
Writing complex queries as per the business rules and data extraction logic
Query tuning and Performance optimization of various components as and when required.
Work with development leads, System Architects and other teams (as needed)to manage dependencies, risks and issues.
Contributing in all phases of the development lifecycle
Support testers and defect resolution
Update status/risks/issues/impediments in daily scrum calls to the customer and track it to closure.
Writing testable, scalable and effective code
Working on the necessary documentations as needed
Technical Skills:
Minimum 3 Years of experience in design, development and deployment of big data applications and ETL jobs using PySpark APIs/sparkSQL.
Experience in design, build and deployment of Python based applications.
Experience in writing complex SQL queries/procedures using Relational databases like SQL Server or Oracle
Experience in version control system like Git and CI/CD pipeline is a must.
Experience in Delta lake APIs is a plus
Experience in Docker and Kubernetes is a plus
Knowledge of AWS services like S3, Athena, Glue, Lambda, Redshift or Cloud platform is a plus