Data Engineer / Senior Data Engineer
ArcadiaFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
Candidates need 3+ years of software development experience with distributed systems and data platforms, deep expertise in cloud platforms like AWS, Azure, or GCP, hands-on experience with tools like Databricks, Snowflake, Apache Spark, and Airflow, and proficiency in Python, Java, C#, or SQL.
This information is not specified in the job description.
This information is not specified in the job description.
You'll work with the Data & AI team building scalable platforms in a collaborative environment, collaborating with senior engineers on data solutions, participating in code reviews, and contributing to knowledge sharing.
A strong candidate has a proven track record of delivering reliable software, strong problem-solving and analytical skills, excellent communication and collaboration skills, and experience delivering high-impact API-first services at scale.
Designs and sells athletic footwear and apparel
Nike designs, manufactures, and sells a variety of footwear, apparel, equipment, and accessories aimed at athletes, fitness enthusiasts, and everyday consumers. Their products are created to be stylish and performance-oriented, catering to the needs of a diverse clientele. Nike operates through multiple sales channels, including retail stores, online platforms, and third-party retailers, and enhances its brand image through endorsements from well-known athletes and sports teams. A key aspect of Nike's approach is its membership program, which offers exclusive access to products and content, fostering a deeper connection with consumers. Unlike many competitors, Nike places a strong emphasis on sustainability and corporate responsibility, integrating these values into its operations and product development. The company's goal is to continue growing by creating products that resonate with consumers while promoting positive social and environmental impact.