Data Engineer

📋 Description

• Design, develop, and maintain scalable, reliable, and secure data pipelines to support enterprise
• Build and optimize ETL/ELT processes to ingest, transform, and deliver data from various source
• Design, implement, and maintain cloud-native data solutions on AWS
• Develop scalable batch and near real-time data processing solutions
• Develop and maintain Apache Iceberg datasets to support enterprise analytical workloads
• Ensure data from source systems is successfully loaded into the enterprise Data Lake daily with

🎯 Requirements

• Bachelor’s degree in computer science, Information Technology, Data Engineering, Engineering
• Minimum 3+ years of experience in Data Engineering, Data Warehousing, Data Platform Engineering, or
• Strong hands-on experience in SQL, Python, PySpark, and Terraform
• Strong experience with AWS services including AWS Glue, Amazon Redshift, Amazon S3, Amazon RDS
• Experience designing and supporting enterprise Data Lake and Data Warehouse solutions
• Experience working with Apache Iceberg tables and large-scale data processing platforms

🎁 Benefits

• Competitive benefits
• Continuous training opportunities
• People-first culture
• Personal and professional development
• Team-oriented culture
• Work alongside industry-certified experts