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 solid hands-on expertise in
AWS data services, SQL, and Python
, along with experience in building
reliable batch and streaming pipelines
in a global delivery environment.
Must-Have Skills

Cloud & Data Engineering (AWS)
Robust 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
Solid 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
Experienc

📌 Data Engineer Mumbai
🏢 Dentsu Global Services
📍 Mumbai