Data Warehouse Engineer II

Responsibilities

• Design, develop, and maintain scalable data warehouse and ETL/ELT solutions on AWS
• Build and optimize data pipelines using PySpark and AWS Glue
• Develop and maintain AWS Lambda-based automation and orchestration workflows
• Work extensively with Amazon Redshift, including stored procedures and performance tuning
• Manage and optimize data storage and processing using Amazon S3 and Athena
• Implement secure and scalable access controls using AWS IAM
• Perform SQL query tuning and optimization for large-scale datasets
• Support data migration, modernization, and cloud transformation initiatives
• Collaborate with cross-functional teams including analytics, BI, and infrastructure
• Monitor, troubleshoot, and improve data platform reliability and performance

Requirements

• 3–5 years of experience in Data Engineering or Data Warehousing
• Hands-on experience with AWS Glue, Lambda, Redshift, S3, Athena, and IAM
• Strong experience with PySpark and large-scale data processing
• Expertise in SQL development, query optimization, and performance tuning
• Experience developing and optimizing Redshift stored procedures
• Experience in data migration and cloud modernization projects
• Understanding of ETL/ELT frameworks and distributed data processing

Preferred Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or Engineering
• Experience working in Agile development environments
• Experience with AI-driven automation solutions
• Knowledge of Prompt Engineering and Generative AI concepts

About the Company

Jumio is a B2B technology company dedicated to eradicating online identity fraud, money laundering, and other financial crimes. As a leading provider of online identity verification, eKYC, and AML solutions, Jumio leverages AI, biometrics, and machine learning to create trusted solutions for brands worldwide.