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 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)
• Valuable 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
• Experien
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