Lead AWS Data Engineer
DXC IND Chennai - Olympia Tech park (CSC location), India
DXC Technology
DXC Technology helps global companies run their mission-critical systems and operations while modernizing IT, optimizing data architectures, and ensuring security and scalability across public, private and hybrid clouds.Job Description:
Lead AWS Data Engineer
Job Location: Hyderabad / Bangalore / Chennai / Noida/ Gurgaon / Pune / Indore / Mumbai/ Kolkata
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:
- Min 8+ Years of experience on IT
- 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.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Athena AWS Azure CI/CD CloudFormation Data Analytics DataOps Data pipelines Data Warehousing DevOps ELT ETL Lambda Oracle Pipelines PostgreSQL Python Redshift SQL Terraform
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