Chennai, Tamil Nadu, India
Information Technology
Full-Time
Nike
Overview
Who You’ll Work With
This role is part of the Nike’s Content Technology team within Consumer Product and Innovation (CP&I) organization, working very closely with the globally distributed Engineering and Product teams. This role will roll up to the Director Software Engineering based out of Nike India Tech Centre.
Who We Are Looking For
We are looking for experienced Technology focused and hands on Lead Engineer to join our team in Bengaluru, India.
As a Senior Data Engineer, you will play a key role in ensuring that our data products are robust and capable of supporting our Data Engineering and Business Intelligence initiatives.
This role is part of the Nike’s Content Technology team within Consumer Product and Innovation (CP&I) organization, working very closely with the globally distributed Engineering and Product teams. This role will roll up to the Director Software Engineering based out of Nike India Tech Centre.
Who We Are Looking For
We are looking for experienced Technology focused and hands on Lead Engineer to join our team in Bengaluru, India.
As a Senior Data Engineer, you will play a key role in ensuring that our data products are robust and capable of supporting our Data Engineering and Business Intelligence initiatives.
- A data engineer with 5+ years of experience working with cloud-native platforms.
- Advanced skills in SQL, PySpark, Apache Airflow (or similar workflow management tools), Databricks, and Snowflake.
- Deep understanding of Spark optimization, Delta Lake, and Medallion architecture.
- Strong experience in data modeling and data quality practices.
- Experience with Tableau for data validation and monitoring.
- Exposure to DevOps practices, CI/CD, Git, and security aspects.
- Effective mentorship and team collaboration skills.
- Strong communication skills, able to explain technical concepts clearly.
- Experience with Kafka or other real-time systems
- Preferred:
- Familiarity with ML/GenAI integration into pipelines.
- Databricks Data Engineer certification.
- Own and optimize large-scale ETL/ELT pipelines and reusable frameworks.
- Collaborate with cross-functional teams to translate business requirements into technical solutions.
- Guide junior engineers through code reviews and design discussions.
- Monitor data quality, availability, and system performance.
- Lead CI/CD implementation and improve workflow automation.
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