Join the data team at a world-leading innovator in the sports and active lifestyle sector. Our client is a powerhouse brand that leverages data to drive product development, enhance customer experiences, and optimize global operations. You’ll play a crucial role in building the data infrastructure that supports this data-centric approach.

This Data Engineer will be responsible for designing, building, and maintaining robust and scalable data solutions to support a data-driven environment. They will work with cutting-edge technologies to develop and optimize data pipelines, ensuring efficient data flow and accessibility for various stakeholders. The role involves collaborating with cross-functional teams to understand data needs, implementing best practices for data management, and contributing to the continuous improvement of data processes.

Responsibilities:

• Design and building complex reusable components of larger process or framework to support analytics products
• Design and implement product features in collaboration with business and Technology stakeholders
• Anticipate, identify and solve issues concerning data management to improve data quality
• Clean, prepare and optimize data at scale for ingestion and consumption
• Support the implementation of new data management projects and re-structure of the current data architecture
• Implement automated workflows and routines using workflow scheduling tools
• Understand and use continuous integration, test-driven development and production deployment frameworks
• Participate in design, code, test plans and dataset implementation performed by other data engineers in support of maintaining data engineering standards
• Analyze and profile data for the purpose of designing scalable solutions
• Troubleshoot straightforward data issues and perform root cause analysis to proactively resolve product issues

Experience:

• 6+ years' experience developing Data & Analytic solutions
• Experience building data lake solutions leveraging one or more of following AWS, EMR, S3, Hive, Spark, Snowflake & Databricks
• Experience with relational SQL
• Experience with scripting languages such as Shell, Python
• Experience with source control tools such as GitHub and related dev process
• Exerience with Hadoop or Spark required 

The target hiring compensation range for this role is $56.99 to $63.33 an hour. Compensation is based on several factors including, but not limited to education, relevant work experience, relevant certifications, and location.

About Aquent Talent:

Aquent Talent connects the best talent in marketing, creative, and design with the world’s biggest brands.

Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match. We also offer free online training through Aquent Gymnasium. More information on our awesome benefits! 

Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We’re about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.

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Global leader in athletic footwear, apparel, and equipment. Our client focuses on innovation, performance, and marketing, partnering with top athletes and teams. The company emphasizes sustainability and digital advancements to enhance the sports experience.