Data Engineer I

Nike's interview process typically starts with an online coding assessment focusing on SQL and Python problems, followed by a technical interview that dives deep into data pipeline design, Spark concepts, and cloud data services. The final HR round assesses cultural fit and motivation. Candidates should be prepared with clear explanations of past projects and a strong grasp of data engineering fundamentals.

Nike promotes a high‑energy, inclusive work culture where innovation is celebrated and employees are encouraged to bring their authentic selves to work. The company offers strong growth opportunities, mentorship programs, and a balanced approach to work‑life integration, allowing engineers to pursue personal development alongside impactful projects.

Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering or related field; Minimum 60% aggregate (or CGPA 6.0/10); No active backlogs; Fresh graduates from 2024‑2026 batches are encouraged to apply; Strong academic record in programming, databases, and data structures.

Round 1: Online assessment (coding & aptitude) → Round 2: Technical interview (data engineering concepts, SQL, Python, system design) → Round 3: HR interview (culture fit, motivations)

Nike, Inc. is a global leader in sportswear, footwear, and equipment, renowned for its innovative products and strong brand presence. Headquartered in the United States, Nike operates in more than 190 countries, fostering a culture of creativity, performance, and sustainability. In India, Nike has established a robust ecosystem that blends cutting‑edge technology with consumer‑centric design, offering employees the chance to work on products that inspire athletes worldwide. The company’s commitment to diversity, inclusion, and continuous learning makes it an attractive destination for fresh talent looking to make a tangible impact. The Data Engineer I role sits within Nike’s Global Technology organization, specifically supporting the Consumer Product & Innovation (CP&I) team. Reporting to the Engineering Director, you will collaborate with senior engineers, a Technical Product Manager, and Principal Engineers to design, build, and maintain data pipelines that power modern web applications. Your work will enable the CP&I community to access reliable, real‑time data through modular, API‑first services, accelerating product development and decision‑making. Key responsibilities include: 1. Design, develop, and maintain scalable ETL/ELT pipelines using Spark or equivalent frameworks. 2. Write efficient SQL queries for data extraction, transformation, and reporting. 3. Implement data models and schema designs that support analytical workloads. 4. Integrate data pipelines with cloud platforms such as AWS, Azure, Databricks, or Snowflake. 5. Collaborate with cross‑functional teams to define data requirements and ensure data quality. 6. Participate in code reviews, provide mentorship to junior engineers, and enforce best practices. 7. Develop and expose data services via REST APIs, adhering to micro‑service architecture principles. 8. Automate deployment workflows using Git, CI/CD pipelines, and DevOps tools. 9. Monitor pipeline performance, troubleshoot issues, and optimize for cost and speed. 10. Contribute to documentation, data governance, and security compliance. The tech stack revolves around Python, SQL, Apache Spark, cloud services (AWS/Azure), Snowflake/Databricks, Git, Docker, and CI/CD platforms. Nike offers a clear growth path: junior engineers can progress to senior data engineer, lead engineer, and eventually architect or managerial roles, with ample opportunities for cross‑domain exposure and professional certifications. Joining Nike means working in an environment that values bold ideas, rapid iteration, and a collaborative spirit, all while contributing to products that inspire athletes globally.