Job Description:

Job Description – Data Engineer (AWS)

• Basic Information
• Job Title: Data Engineer (AWS)
• Experience: 3 to 7 Years
• Role Overview

We are looking for a hands-on Data Engineer – AWS with 3 to 7 years of experience in developing, building, and maintaining scalable, secure, and high-performance data platforms on AWS.

This is an individual contributor role focused on data pipeline development, cloud data engineering, and analytics enablement. The candidate should have strong hands-on expertise in AWS data services, SQL, and Python, along with experience in building reliable batch and streaming pipelines in a global delivery workplace.

• Must-Have Skills

Cloud & Data Engineering (AWS)

• Strong hands-on experience with:
• Amazon S3
• AWS Glue
• Amazon Athena
• Amazon Redshift
• Amazon EMR

• Experience designing cloud-native data lakes and data warehouse architectures
• Solid understanding of batch data processing and basic exposure to streaming concepts

SQL & Python (Mandatory)

• Strong SQL skills (mandatory):
• Complex queries, joins, aggregations,



and transformations
• Experience working with large datasets in Redshift/Athena

• Strong Python skills (mandatory):
• Python for data engineering and ETL use cases
• Experience with PySpark / Spark (preferred)

• Good understanding of:
• Data modeling
• Transformations
• Performance tuning

Data Processing & Engineering

• Hands-on experience with Spark / PySpark
• Experience handling:
• Structured and semi-structured data

• Knowledge of:
• Schema evolution
• Data quality checks
• Validation logic

DevOps & Platform Basics

• Working knowledge of Infrastructure as Code (Terraform / CloudFormation)
• Basic experience with CI/CD pipelines for data workloads
• Understanding of logging and monitoring using AWS CloudWatch

Collaboration

• Ability to work with architects, DevOps, QA, and business stakeholders
• Good communication skills to clearly explain technical concepts

• Good-to-Have Skills
•

📌 Data Engineer (Mumbai)
🏢 Dentsu Global Services
📍 Mumbai