Interested candidates can share their profile to [email protected]

Key Responsibilities

- Data Pipelines: Develop configuration-driven ingestion and transformation pipelines using AWS Glue, Lambda, and Redshift.
- Automation: Implement CI/CD pipelines for automated build, test, and deployment of data products.
- Testing: Establish automated test frameworks for schema validation, data quality, and performance testing.
- Monitoring: Set up monitoring and observability dashboards for product-level metrics (CloudWatch, custom metrics).
- Collaboration: Work with data modelers and architects to ensure alignment with business requirements.
- Required Skills

- Programming: Proficiency in Python, SQL, and shell scripting.
- AWS Expertise:



Hands-on experience with AWS services (Glue, Redshift, S3, Lambda, CloudWatch).
- Automation: Experience with CI/CD tools (Terraform, Jenkins, AWS CodePipeline).
- Data Integration: Strong knowledge of ETL/ELT processes and frameworks.
- Soft Skills: Robust problem-solving, collaboration, and communication skills.
- Qualifications

- Bachelors degree in Computer Science, Data Engineering, or related field.
- 5+ years of experience in data engineering and pipeline development.
- AWS Certified Data Analytics or AWS Certified Developer is a plus.

📌 AWS Engineer - Bangalore (Bengaluru)
🏢 Tech Mahindra
📍 Bengaluru