Aws Data Engineer

Hinduja Global Solutions (HGS); Indore District, Hyderabad, Bengaluru; Hybrid; INR 1,500,000 - 2,300,000; Full time

Job summary

Hinduja Global Solutions (HGS) is seeking an AWS Data Engineer to join our data engineering team in India. The role focuses on building cloud-native data pipelines using AWS services, Python, PySpark, SQL, and Airflow, with emphasis on data modeling and ETL development.

Immediate joiners preferred; locations include Indore, Hyderabad, and Bangalore. The candidate should have 4–7 years of experience with S3, Redshift, Glue, MWAA, and API-based data sources, and knowledge of DevOps tools like Git,

Qualifications

• 4-7 years of experience in AWS data engineering.
• Experience with Python, PySpark, SQL.
• SAP S/4HANA or SAP ECC experience is mandatory.
• REST APIs as data sources experience required.
• Experience with cloud-native data pipelines and ETL development.

Skills

Python

SQL

Airflow

PySpark

ETL development

Data warehousing

AWS services

DevOps

Git

Docker

Kubernetes

Tools

AWS Glue

MWAA

S3

Redshift

Jenkins

Docker

Kubernetes

GitHub

Job description

Hiring: AWS Data Engineer | 36 Years Experience

Hi, hope you're doing well!

This is Rajesh from Hinduja Global Solutions (HGS). We are currently hiring AWS Data Engineers with strong experience in AWS data engineering technologies.

Locations: Hyderabad | Bangalore | Indore
Notice Period: Immediate Joiners Only

Experience & Requirements

• 4-7 years of experience working with AWS components such as S3, Redshift, AWS Glue, MWAA, Airflow DAGs, Athena, and Lake Formation
• Strong programming skills in Python, PySpark, and SQL
• Experience with DevOps, Git, and AWS Data Lake components such as Glue, Redshift, and MWAA
• SAP S/4HANA or SAP ECC experience is mandatory
• Experience working with REST APIs as data sources is required
• Experience with APIs such as Zoho CRM, C4C, XnApp, or Beyond Traffic is an added advantage
• Experience building and maintaining cloud-native applications
• Hands-on experience with cloud DevOps tools such as Ansible, Artifactory, Docker, GitHub, Jenkins, Kubernetes, Maven, or SonarQube
• Strong expertise in data modeling, data warehousing, and ETL pipeline development
• Experience troubleshooting distributed systems
• Proficiency in scripting and script development
• Excellent programming skills in SQL and Python
• Strong analytical, communication, collaboration, and problem-solving skills
• Ability to train and mentor team members on technical and procedural topics
• AWS Professional Data Engineer certification is preferred