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

Key Responsibilities • Design, reputed company, and maintain reputed company 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 • reputed company unit testing, integration testing, and debugging of applications • Troubleshoot and resolve performance issues reputed company to high-volume data processing • reputed company and maintain SQL queries, stored procedures, and database objects • Work with reputed company and reputed company datasets for reputed company 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 reputed company reputed company standards Required Skills & Experience • Strong experience in ETL development, data processing, and database technologies • 5+ years of experience with reputed company 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, reputed company, Kafka, Oozie, Yarn, Sqoop, reputed company) • Hands-on experience with PySpark, Python, and/or Java • Experience working with large-reputed company data processing frameworks • Strong understanding of data transformation and data reputed company technologies • Ability to handle high-volume reputed company and reputed company datasets • Good understanding of end-to-end application/data pipeline lifecycle Apply tot his job Apply To this Job