This role involves designing, developing, and maintaining robust data solutions. Key responsibilities include creating efficient data pipelines, ensuring high data quality, and implementing sophisticated ETL processes for seamless data migration and deployment across various systems. The Data Engineer will collaborate with diverse teams to understand intricate data requirements and deliver impactful solutions aligned with organizational objectives.

Additional focus will be placed on troubleshooting complex data issues and optimizing data workflows to enhance overall system performance and efficiency. This position is ideal for professionals seeking to leverage their expertise in data engineering to drive innovation and support critical business functions.

As a Data Engineer, you will be expected to act as a Subject Matter Expert (SME).

You will collaborate effectively with and manage a team to achieve project goals.

This role includes accountability for team decisions and contributing to key strategic choices across multiple departments.

You will be instrumental in problem-solving, providing solutions for your immediate team and offering support to other teams as needed.

Mentoring junior team members to foster skill development and knowledge sharing is a key aspect of this position. Continuous evaluation and enhancement of data processes are essential to ensure optimal operational performance.

A minimum of 3 years of hands-on experience in data engineering is required.

Demonstrated proficiency in AWS Architecture and AWS Glue is essential.

Experience with data modeling and database design principles is expected.

Candidates should possess a strong understanding of ETL processes and data integration techniques.

Familiarity with cloud services and various data storage solutions is highly beneficial.

Knowledge of data governance frameworks and best practices for ensuring data quality is also important.