Senior Data Engineer

Build on and extend Allocate's data lakehouse on AWS Create robust ETL/ELT pipelines to ingest, clean, and transform data Work closely with data science and engineering team for AI/ML capabilities Partner with engineering team to deliver data and AI infrastructure Collaborate with DevOps engineers to deploy and maintain data services Stay up to date with the latest in data engineering and AI Requirements 5+ years of hands‑on experience in data engineering (or related fields) Strong experience working with AWS cloud services for data Proficiency in SQL and relational database design Fluency in at least one major programming language used in data engineering Understanding of machine learning models and data handling Solid understanding of containerization and deployment Ability to analyze complex data problems and debug pipeline issues Excellent communication skills and a collaborative mindset Bachelor’s degree in Computer Science or similar technical field of study Core Competencies Demonstrates expertise in building and extending data lakehouses on AWS, creating robust ETL/ELT pipelines, and collaborating with cross‑functional teams to enhance AI/ML capabilities. Proficient in SQL, data engineering principles, and containerization for effective data service deployment. Highest-signal resume keywords AWS Cloud Services ETL/ELT Pipeline Development SQL Proficiency Machine Learning Understanding Containerization and Deployment Hard Skills Data Engineering ETL/ELT Development SQL Relational Database Design Programming Language Fluency Machine Learning Models Data Handling Debugging Pipeline Issues Soft Skills Excellent Communication Skills Collaborative Mindset Certifications & Qualifications Bachelor’s Degree in Computer Science Industry Keywords Data Engineering AI/ML Capabilities Data Services DevOps Collaboration Tools & Technologies AWS Data Lakehouse Containerization Tools #J-18808-Ljbffr