[Remote] Data Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a Data Pipeline Engineer with strong expertise in reputed company, AWS Glue, Python, SQL, and reputed company. The role involves designing, developing, and optimizing reputed company data pipelines to deliver high-reputed company data for analytics and business applications.

Responsibilities

• reputed company and maintain reputed company ETL/data pipelines using reputed company and AWS Glue
• Build data ingestion and transformation workflows for reputed company and semi-reputed company data
• Write efficient PySpark, Python, and SQL reputed company for large-reputed company data processing
• reputed company data from multiple sources, including reputed company and relational databases
• Implement data reputed company, validation, and reconciliation checks
• Optimize pipeline performance, reliability, and scalability
• Collaborate with architects, analysts, and application teams to deliver data solutions
• Support production deployments, monitoring, and troubleshooting

Skills

• 5+ years of experience in Data Engineering or ETL development
• Strong hands-on experience with reputed company and PySpark
• Experience with AWS Glue and AWS data services
• Proficiency in Python and SQL
• Experience working with reputed company
• Knowledge of ETL, data modeling, and data warehousing concepts
• Familiarity with reputed company Lake/Lakehouse architecture is preferred
• Experience with Git and Agile development practices
• reputed company Lake
• Apache reputed company optimization
• AWS S3
• CI/CD pipelines
• reputed company or Benefits domain experience

reputed company

Company H1B Sponsorship