PySpark / Java Developer (Data Engineer)- 100% Remote- Only W2

Key Responsibilities • Design, develop, and maintain scalable ETL pipelines and data processing applications • Build and optimize data workflows using PySpark, Java, and Hadoop ecosystem tools • Analyze business and technical requirements to produce detailed implementation designs • Perform unit testing, integration testing, and debugging of applications • Troubleshoot and resolve performance issues related to high-volume data processing • Develop and maintain SQL queries, stored procedures, and database objects • Work with structured and unstructured datasets for healthcare analytics • Generate statistical reports and support data validation processes • Collaborate with cross-functional teams to ensure end-to-end data pipeline efficiency • Follow software engineering best practices and maintain code quality standards Required Skills & Experience • Strong experience in ETL development, data processing, and database technologies • 5+ years of experience with Microsoft SQL Server and relational databases • Expertise in SQL performance tuning, indexing strategies, and query optimization • 2+ years of experience with Hadoop ecosystem tools (HDFS, Hive, Impala, Spark, Kafka, Oozie, Yarn, Sqoop, Hue) • Hands-on experience with PySpark, Python, and/or Java • Experience working with large-scale data processing frameworks • Strong understanding of data transformation and data movement technologies • Ability to handle high-volume structured and unstructured datasets • Good understanding of end-to-end application/data pipeline lifecycle Apply To this Job