Data Engineer

KEY RESPONSIBILITIES

• Design, develop, and maintain scalable data pipelines using AWS EMR and Apache Spark
• Build and optimize ETL/ELT processes for structured and unstructured data
• Work with large datasets using distributed computing frameworks
• Implement data storage solutions using PostgreSQL, DynamoDB, and Apache Iceberg
• Ensure data quality, integrity, and performance optimization
• Collaborate with cross-functional teams including Data Scientists, Analysts, and DevOps
• Monitor, troubleshoot, and improve data pipeline performance
• Implement best practices for data governance and security in AWS environment

REQUIREMENTS

• Bachelor's Degree is required, and/or a minimum of 5 Years of related work experience.
• Strong hands-on experience with AWS EMR and Apache Spark
• Solid experience in PostgreSQL (query optimization, schema design)
• Experience working with DynamoDB (NoSQL data modeling)
• Knowledge of modern data lake technologies like Apache Iceberg
• Good understanding of distributed data processing and big data architecture
• Familiarity with AWS ecosystem (S3, IAM, Glue – optional but preferred)
• Strong problem-solving and analytical skills