Data Engineer

Our client is a global leader in sportswear and athletic gear, renowned for their innovation and commitment to empowering athletes of all levels. With a strong presence in over 190 countries, they design and develop cutting-edge products that combine performance, style, and technology. Their mission is to inspire and drive positive change in the world of sport, while providing high-quality gear, apparel, and footwear to athletes worldwide.

Driven by a passion for creativity and excellence, they foster a collaborative and dynamic work environment, focusing on continuous growth, innovation, and sustainability. Their teams are at the forefront of transforming the future of sport, integrating advanced technologies into both their products and services.

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Position Overview:

We are seeking an experienced Data Engineer to join a dynamic team working on a migration project from AWS to Databricks. In this role, you will collaborate with a team of 6-7 professionals and contribute to the design, development, and migration of data solutions. The role offers remote flexibility, but candidates must be available to work during PST hours.

Key Responsibilities:

• Establish and enforce database management standards, guidelines, and quality assurance for deliverables.
• Design and document database structures, including conceptual designs, logical databases, and data security policies.
• Develop, install, and maintain database management systems (DBMS) for technical platforms.
• Code complex programs, implement logical processes, and build windows, screens, and reports for data applications.
• Assist in user interface design and prototype development for business applications.
• Participate in quality assurance processes and develop test code in a client-server environment.
• Work with cross-functional teams to develop tables, fields, and relational data models.
• Evaluate and adapt business requirements to create efficient data specifications, tables, and element attributes for applications.
• Ensure appropriate data storage, organization, and table relationships for optimal performance.

Qualifications:

• 3-5 years of experience in data engineering.
• Strong skills in Spark, SQL, Airflow, Databricks, and Python.
• Experience with AWS and Databricks preferred (certifications are a plus but not required).
• Excellent communication and analytical skills.
• Ability to work well in a team environment and manage stakeholder expectations.
• Self-starter with the ability to manage time effectively and take initiative.

Nice to Have:

• AWS and/or Databricks certifications.
• Experience with stakeholder management and collaborating across teams.