Posted:1 week ago|
Platform:
Work from Office
Full Time
We are seeking a skilled Lead AWS Data Engineer with strong programming and SQL skills to join our team. The ideal candidate will have hands-on experience with AWS Data Analytics services and a basic understanding of general AWS services. Additionally, prior experience with Oracle and Postgres databases and secondary skills in Python and Azure DevOps will be an advantage. Key Responsibilities: Design, develop, and optimize data pipelines using AWS Data Analytics services such as RDS, DMS, Glue, Lambda, Redshift, and Athena . Implement data migration and transformation processes using AWS DMS and Glue . Work with SQL (Oracle & Postgres) to query, manipulate, and analyse large datasets. Develop and maintain ETL/ELT workflows for data ingestion and transformation. Utilize AWS services like S3, IAM, CloudWatch, and VPC to ensure secure and efficient data operations. Write clean and efficient Python scripts for automation and data processing. Collaborate with DevOps teams using Azure DevOps for CI/CD pipelines and infrastructure management. Monitor and troubleshoot data workflows to ensure high availability and performance. Preferred Qualifications: AWS certifications in Data Analytics, Solutions Architect, or DevOps. Experience with data warehousing concepts and data lake implementations. Hands-on experience with Infrastructure as Code (IaC) tools like Terraform or CloudFormation.
DXC Technology
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