Data Engineer

Key Responsibilities

• Design, build, and maintain scalable data pipelines using AWS Glue.
• Implement ETL/ELT processes for ingesting data from multiple internal and external sources.
• Optimize data workflows for performance, reliability, and scalability.
• Monitor, troubleshoot, and resolve data pipeline failures and performance issues.
• Manage and optimize AWS Redshift data warehouse operations.
• Configure and maintain data storage solutions, including AWS S3 and data lake environments.
• Implement data partitioning, indexing, and compression strategies to improve performance.
• Support Infrastructure as Code (IaC) practices for deploying and managing data infrastructure.
• Develop and maintain CI/CD pipelines for data workflows using GitLab.
• Implement automated testing for data pipelines and data quality validation.
• Support version control, release management, and deployment ...

Ready to Apply?

Submit your application today and join our talented team at HCLTech.