[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