Aws Data Engineer

Tata Consultancy Services; Dadri; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Tata Consultancy Services Noida is seeking an AWS Data Engineer with 4+ years of hands-on experience in AWS Glue, Python, PySpark and ETL development. You will design and optimize data pipelines from sources like S3/Redshift, ensure data quality, and collaborate with data teams to deliver reliable analytics.

The role requires AWS Data Engineer Associate certification and strong problem‑solving and communication skills. On-site opportunity with exposure to enterprise data workflows.

Qualifications

• 4–8 years of experience in data engineering and ETL development.
• Strong hands-on experience with AWS Glue, Python and PySpark.
• Certification: AWS Data Engineer Associate is mandatory.

Responsibilities

• Design and develop ETL/data pipelines using AWS Glue and Python/PySpark.
• Extract/transform/load data from S3, Redshift, and databases.
• Ensure data quality and integrity across workflows.
• Monitor and optimize ETL jobs for performance and cost.
• Automate data workflows using AWS Glue Triggers, MWAA, and workflows.
• Prepare and maintain technical documentation.

Skills

AWS Glue

Python

PySpark

ETL processes

Data pipelines

Workflow orchestration

Tools

Amazon S3

Redshift

MWAA (Airflow)

AWS Glue Workflows

Job description

Location - Noida

Exp - 4+ Year

We are looking for an AWS Data Engineer with experience in AWS Glue, Python, and ETL development.

Key Responsibilities:

• Design and develop ETL/data pipelines using AWS Glue and Python/PySpark.
• Extract, transform, and load data from sources such as Amazon S3, Redshift, and databases.
• Ensure data quality, validation, and integrity across data workflows.
• Monitor and optimize ETL jobs for better performance and cost efficiency.
• Work closely with Data Engineers, Analysts, and Business teams to understand requirements.
• Automate and orchestrate data workflows using AWS Glue Triggers, Workflows, and MWAA (Airflow).
• Prepare and maintain technical documentation.

Required Skills

• Strong experience in AWS Glue, Python, and PySpark
• Hands‑on experience with Amazon S3, Redshift, and ETL processes
• Knowledge of data pipeline optimization and troubleshooting
• Experience with workflow orchestration tools (AWS Glue Workflows/MWAA)
• Good communication and problem‑solving skills

Mandatory

AWS Certified Data Engineer Associate (Mandatory)

Experience: 4-8 Years
Skill: AWS Glue + Python + PySpark + ETL + Redshift + S3
Certification: AWS Data Engineer Associate (Mandatory)