HiringCafe
Posted 2mo ago

Lead Software Engineer - Data Engineering, ITC

@ Nike
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India
OnsiteFull Time
Responsibilities:Design platforms, Lead design, Build frameworks
Requirements Summary:7+ years software development; distributed systems; cloud-native; big data (Spark, Kafka); Python/Java; SQL; IaC (Terraform, CloudFormation); AWS/Azure/GCP; data modeling; Medallion architecture.
Technical Tools Mentioned:Apache Spark, Apache Kafka, Python, Java, SQL, Terraform, CloudFormation, Docker, Kubernetes, AWS, Azure, GCP
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Job Description

WHO YOU’LL WORK WITH


At Nike, we leverage the power of data and technology to serve athletes* around the world. The Data & AI (DAI) team is at the forefront of this mission—building scalable, secure, and intelligent platforms that power decision-making and personalized experiences across the Nike ecosystem.


WHO WE ARE LOOKING FOR


We are looking for an experienced software engineer with a passion for designing and building robust data platforms and solutions. You thrive in a fast-paced, collaborative environment and have a proven track record of delivering scalable and reliable data platforms and services.


Skillset Required

  • 7+ years of experience in software development, with a strong foundation in distributed systems, cloud-native architectures, and data platforms.
  • Advanced Knowledge in API services
  • Expertise in CI/CD process.
  • Expertise in big data technologies such as Apache Spark and real-time streaming technologies like Apache Kafka.
  • Strong programming skills in Python, Java or similar language
  • Strong Knowledge of SQL.
  • Advanced knowledge of a major cloud platform (AWS, Azure, GCP) and its ecosystem of data services.
  • Proficiency with Infrastructure as Code (IaC) tools like Terraform or AWSCloudFormation, Docker, or Kubernetes
  • Strong understanding of advanced data modeling techniques and modern data warehouses and strong Medallion architecture expertise
  • Ability to design scalable, fault-tolerant, and maintainable distributed systems.
  • Excellent communication and stakeholder management skills.


WHAT YOU’LL WORK ON


What You’ll Do

  • Design, build, deploy, and own complete, scalable, and reliable end to end, software to data platforms and solutions.
  • Lead the technical design of new API services, data pipelines, and systems.
  • Build reusable frameworks, libraries, and data management SDKs to improve productivity.
  • Build Data Mesh Data products with abstraction.
  • Optimize performance and cost-efficiency of Services workload, data workflows and compute layers.
  • Collaborate with stakeholders such as data scientists, business analysts, and product managers to understand and translate business requirements into technical solutions.
  • Provide technical leadership and mentorship to junior engineers.
  • Ensure the uptime, reliability, and monitoring of the systems you build and own.