AWS Data Engineer

HCLTech; Hyderabad; On-site; INR 2,000,000 - 3,200,000; Full time

Job summary

HCLTech is seeking a skilled AWS Data Engineer to design, develop, and maintain scalable cloud-based data solutions on AWS. The role emphasizes ETL pipelines, data workflow optimization, and enterprise data initiatives using AWS Glue, Python, PySpark, SQL, and serverless approaches.

The ideal candidate will also bring hands-on experience with Lambda, DevOps practices, CI/CD, Git, and deployment automation, along with knowledge of data lakes and cloud-native architectures on AWS.

Qualifications

• Strong experience in AWS Data Engineering.
• Hands-on expertise with AWS Glue for ETL development.
• Proficiency in Python and PySpark.
• Strong knowledge of SQL and database optimization techniques.
• Experience with AWS Lambda and serverless architecture.
• Understanding of DevOps practices, CI/CD, Git, and deployment automation.
• Experience working with data lakes and cloud-native data architectures on AWS.

Responsibilities

• Design, develop, and maintain scalable cloud-based data solutions.
• Build robust ETL pipelines and optimize data workflows.
• Support enterprise data initiatives on AWS.

Skills

AWS Data Engineering

Python

PySpark

SQL

AWS Glue

AWS Lambda

DevOps

Tools

Git

CI/CD

Job description

We are seeking a highly skilled AWS Data Engineer to design, develop, and maintain scalable cloud-based data solutions. The ideal candidate will have strong expertise in AWS Glue, Python, PySpark, SQL, AWS Lambda, and DevOps practices to build robust ETL pipelines, optimize data workflows, and support enterprise data initiatives.

Required Skills

• Strong experience in AWS Data Engineering.
• Hands-on expertise with AWS Glue for ETL development.
• Proficiency in Python and PySpark.
• Strong knowledge of SQL and database optimization techniques.
• Experience with AWS Lambda and serverless architecture.
• Understanding of DevOps practices, CI/CD, Git, and deployment automation.
• Experience working with data lakes and cloud-native data architectures on AWS.