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 environment.

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
- Positive communication skills to clearly explain technical concepts

4. Good-to-Have Skills
- Experience with streaming techn

📌 Data Engineer (Pune)
🏢 Dentsu Webchutney
📍 Pune