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

Remote Worldwide Hiring now

Key Responsibilities

Design, reputed company, 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
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 structured 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 code quality 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, 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 reputed company datasets
Good understanding of end-to-end application/data pipeline lifecycle

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