AWS Data Engineer

About the role

We are seeking a highly skilled AWS Data Engineer with deep expertise in AWS cloud architecture, big data processing, real-time streaming, and modern data lake technologies. This is high visibility, fast-paced key initiative will integrate data across internal and external sources, provide analytical insights, and integrate with the customer’s critical systems.

What you'll do

• Design and implement scalable, secure, and cost-optimized AWS data architectures
• Develop and maintain ETL pipelines using AWS Lambda and AWS Glue ETL
• Configure and manage AWS Glue Crawlers, Glue Data Catalog, and schema evolution
• Build, optimize, and unit test applications on the Apache Spark framework using PySpark
• Design and optimize data lakes using Apache Iceberg on AWS, including table compaction and Iceberg performance tuning

What you need

• 1–3 years in data science & ai
• AWS
• Python
• ETL
• Pandas
• Spark
• Kafka
• Any graduate

Good to have

• Unit testing
• CI/CD
• Test automation
• DynamoDB
• Scala