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
- Experienc

📌 Data Engineer (Mumbai)
🏢 dentsu
📍 Mumbai