Job Description:
Job Description – Data Engineer (AWS)
1. Basic Information
Job Title: Data Engineer (AWS)
Experience: 3 to 7 Years
2. 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.
3. 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
4. Good-to-Have Skills
Experience with streaming technologies (Amazon Kinesis / Kafka)
Familiarity with

📌 Data Engineer (Pune)
🏢 dentsu
📍 Pune