Aws Developer (2 To 5 Years)

Infosys; Dadri, Chennai District, Bengaluru; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

Infosys is seeking an AWS Data Engineer / AWS Developer in India to design, develop, and maintain scalable data pipelines on AWS. The role focuses on data engineering and AWS development with 2-5 years of hands-on experience, and has no DevOps responsibilities.

The position involves building ETL/ELT processes, data lakes, and data warehouse solutions, plus data transformation and security across the platform. Work spans large-scale datasets and collaboration with stakeholders.

Qualifications

• 2-5 years of hands-on AWS data engineering experience.
• Experience building and maintaining cloud-based data solutions on AWS.
• Strong skills in ETL, data lakes, data warehousing and data processing.

Responsibilities

• Design, develop, and maintain scalable data pipelines on AWS.
• Build and optimize ETL/ELT processes using AWS-native services.
• Develop data ingestion for batch and real-time processing.

Skills

AWS

ETL pipelines

Python

Data lakes

Data warehousing

Data processing

Cloud security

SQL

Tools

AWS Glue

Redshift

S3

Athena

Lambda

Job description

Position: AWS Data Engineer / AWS Developer

Experience: 2-5 Years

Location: Pan India

Employment Type: Full-Time

Job Summary

We are looking for a skilled AWS Data Engineer / AWS Developer with 2-5 years of experience in building and maintaining cloud-based data solutions on AWS. The ideal candidate should have hands-on experience in developing ETL pipelines, data lakes, data warehousing solutions, and scalable data processing frameworks using AWS services. The role focuses on Data Engineering and AWS Development only, with no DevOps responsibilities.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines on AWS.
• Build and optimize ETL/ELT processes using AWS-native services.
• Develop and manage data ingestion frameworks for batch and real-time processing.
• Implement data lake and data warehouse solutions using AWS technologies.
• Perform data transformation, cleansing, and aggregation for analytics requirements.
• Develop Python-based applications and automation scripts for data processing.
• Work with large-scale structured and unstructured datasets.
• Ensure data quality, integrity, and security across the data platform.
• Collaborate with business stakeholders, analysts, and architects to gather requirements.
• Monitor, troubleshoot, and optimize data processing jobs and workflows.
• Participate in code reviews, unit testing, and production support activities.