Data Engineer-Data Platforms-AWS

About the role

We are seeking an experienced AWS Data Engineer to design, build, and support scalable, secure, and high-performance data platforms on AWS. The role requires strong hands-on experience with AWS services, distributed data processing frameworks, and SQL-driven analytics. The ideal candidate will work closely with architects, application teams, and business stakeholders to deliver reliable enterprise-grade data solutions.

What you'll do

• Design, develop, and maintain data pipelines and data platforms on AWS
• Build and operate serverless and containerized workloads using AWS Lambda, EC2, and EKS
• Develop batch and large-scale data processing solutions using Apache Spark
• Implement data ingestion, transformation, and analytics using AWS Glue and Athena
• Write complex and high-performance SQL queries for analytics, reporting, and data validation

What you need

• 1–3 years in data science & ai
• AWS
• Python
• ETL
• Spark
• Redshift
• Data warehousing
• Any graduate

Good to have

• Data modelling
• dbt
• Kafka
• Airflow
• SQL
• Snowflake