AWS Data Engineer - Banaglore

Tech Mahindra; Bengaluru; Hybrid; INR 1,800,000 - 2,800,000; Full time

Job summary

Tech Mahindra in Bengaluru seeks a Data Engineer to build scalable data pipelines and automate data products. You will implement CI/CD for deployment, testing, and monitoring, collaborating with data modelers and architects to meet business needs.

The role emphasizes Python/SQL, AWS Glue/Redshift/S3/Lambda, and data quality frameworks, with a focus on secure, automated data workflows in a cloud environment.

Qualifications

• Bachelors degree in CS, Data Engineering, or related field.
• 6+ years of experience in data engineering and pipeline development.
• AWS Certified Data Analytics or AWS Certified Developer is a plus.

Responsibilities

• Build and maintain data pipelines for ingestion, transformation, and curation.
• Implement CI/CD pipelines for automated build, test, and deployment of data products.
• Establish automated testing for schema validation and data quality.
• Set up monitoring dashboards for product-level metrics and observability.
• Collaborate with data modelers and architects to align with business requirements.

Skills

Python

SQL

Shell scripting

ETL/ELT

Communication

Education

Bachelor's degree in Computer Science or related field

Tools

AWS Glue

Redshift

S3

Lambda

CloudWatch

Terraform

Jenkins

AWS CodePipeline

Job description

Role Summary

The Data Engineer will build and maintain secure, scalable, and automated data pipelines to support the ingestion, transformation, and curation of data products. This role will focus on implementing CI/CD pipelines, automated testing, and monitoring solutions.

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: Strong problem-solving, collaboration, and communication skills.

Qualifications

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