AWS Data Engineer

Infosys • IT Consulting & Digital Transformation • IT Outsourcing & Dedicated Teams • Bachelor's Degree • Python • SQL • ETL/ELT • AWS Glue • 8 hours ago
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Salary
≈ $16k – $39k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Middle · 3+ years exp

Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Sep 28, 2026. Infosys scores A on the Alion truth index.

Overview
Company
Impact
Profile match

Infosys

Infosys Limited is an Indian multinational information technology company providing business consulting, information technology, and outsourcing services. Founded in 1981 by N. R. Narayana Murthy and six engineers in Pune, India, the company is headquartered in Bengaluru and stands as one of India's largest IT services companies.
infosys.com • HQ: Bengaluru, India • IT Consulting & Digital Transformation • IT Outsourcing & Dedicated Teams • 5000+ employees • Est. 1981
Tech stack of Infosys

We are looking for an experienced AWS Data Engineer with 3-5 years of experience in designing, developing, and maintaining scalable data pipelines and cloud-based data solutions. The ideal candidate should have strong expertise in AWS data services, ETL development, and big data technologies.

Responsibilities

Key Responsibilities

Design, develop, and maintain scalable ETL/ELT pipelines on AWS.

Build and optimize data ingestion and transformation workflows.

Develop and manage data lakes and data warehouse solutions.

Work with large-scale structured and unstructured datasets.

Implement data quality, governance, and security best practices.

Optimize data processing performance and cost efficiency.

Collaborate with business analysts, data scientists, and application teams.

Monitor, troubleshoot, and resolve data pipeline issues.

Support data migration and modernization initiatives.

Create technical documentation and maintain data architectures.

Required Skills

AWS Glue

AWS EMR

Amazon Redshift

Amazon S3

AWS Athena

AWS Lambda

SQL

Python

PySpark / Apache Spark

ETL Development

Data Warehousing

Data Lake Architecture

Good-to-Have Skills

AWS Kinesis

Apache Airflow

Kafka

Snowflake

Databricks

Terraform

CI/CD Pipelines

Hadoop Ecosystem

Qualifications

Bachelor's degree in Computer Science, Information Technology, or related field.

3-5 years of relevant Data Engineering experience.

Experience working in cloud-based data platforms and analytics environments.

Strong problem-solving and communication skills.

Technical requirements

Technology-AWS Glue, EMR, Redshift, Athena, S3, Lambda, Python, SQL, PySpark, Spark, ETL, Data Pipeline, Data Lake, Data Warehouse, Kinesis, Airflow, Databricks, AWS Data Engineer.

Preferred skills

Technology->DevOps->Amazon Webservices DevOps,Technology->Data Engineering->Databricks,Technology->Cloud Platform->AWS Data Analytics->AWS Glue DataBrew,Technology->Cloud Platform->Microservices->AWS Lambda

Education

Bachelor of Engineering,BTech

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