Python PySpark Developer

Job Description

Job Title:

Python PySpark Developer

Location:

Pittsburgh, PA

• 9+ years working experience in data integration and pipeline development.
• 5+ years of Experience with AWS Cloud on data integration with Apache Spark, EMR, Glue, Kafka, Kinesis, and Lambda in S3, Redshift, RDS, MongoDB/DynamoDB ecosystems
• Strong real-life experience in python development especially in py Spark in AWS Cloud environment.
• Design, develop test, deploy, maintain and improve data integration pipeline.
• Experience in Python and common python libraries.
• Strong analytical experience with database in writing complex queries, query optimization, debugging, user defined functions, views, indexes etc.
• Strong experience with source control systems such as Git, Bitbucket, and Jenkins build and continuous integration tools.
• Databricks and Apache Spark Experience is a must.

• Design, develop, test, deploy, support, enhance data integration solutions seamlessly to connect and integrate enterprise systems in our Enterprise Data Platform.
• Innovate for data integration in Apache Spark-based Platform to ensure the technology solutions leverage cutting edge integration capabilities.
• Facilitate requirements gathering and process mapping workshops, review business/functional requirement documents, author technical design documents, testing plans and scripts.
• Assist with implementing standard operating procedures, facilitate review sessions with functional owners and end-user representatives, and leverage technical knowledge and expertise to drive improvements.