What are the responsibilities and job description for the Python PySpark Developer position at UrBench, LLC?
Job Title: Python PySpark Developer
Location: Pittsburgh, PA
Job Description
Location: Pittsburgh, PA
Job Description
- 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 pySpark 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.
