Technical Lead Data Engineer

Role Overview

The Senior Specialist, Data Engineering (Technical Lead) will provide technical leadership in designing, building, and scaling enterprise data solutions on AWS. This role requires a seasoned data engineering professional with deep expertise in AWS data platforms, ETL development, data architecture, data modeling, and modern data management practices.

What You Will Do

Lead the design, development, and optimization of scalable data engineering solutions and ETL/ELT pipelines using AWS technologies and industry best practices. Architect and implement data integration solutions that ingest and transform data from APIs, enterprise systems, databases, and third-party platforms into trusted and consumable datasets.

Why It Might Be a Fit

Strong understanding of data architecture, data modeling, and data management principles. Experience working with both relational and non-relational databases, including SQL and NoSQL technologies. Demonstrated ability to diagnose and resolve data consistency, accuracy, integrity, and performance issues.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Technology, or a related field.
• Minimum 10 years of relevant technology experience, including at least 5 years in a Technical Lead role.
• Strong experience in Data Engineering, data integration, and enterprise data platform development.
• Proven experience designing and implementing ETL/ELT solutions in large-scale environments.
• Deep expertise in AWS cloud services, with hands-on experience building data solutions using: AWS Glue, Amazon Redshift, Amazon S3, Other AWS data engineering services
• Strong proficiency in Python for data processing, automation, and engineering solutions.
• Advanced SQL skills, including query optimization, performance tuning, and complex data transformations.
• Experience working with both relational and non-relational databases, including SQL and NoSQL technologies.
• Experience integrating data from APIs, enterprise applications, third-party systems, and diverse data sources.
• Demonstrated ability to diagnose and resolve data consistency, accuracy, integrity, and performance issues.

Benefits

• Financial wellness
• Physical wellness
• Personal wellness