Software Engineer III - Data Engineering , ITC

Nike; Bikkanahalli Hosahalli; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Nike is seeking an experienced Software Engineer III to design, develop, and maintain scalable data solutions across our data foundation platforms. You will build robust data pipelines, APIs, and microservices to support enterprise-wide analytics and decision-making.

The role requires collaboration with product managers, data scientists, and fellow engineers to deliver high-impact data solutions. You will contribute to data governance, platform observability, and data quality initiatives while

Qualifications

• 5-7 years of experience in software development, with a focus on distributed systems, cloud-native architectures, and data platforms.
• Experience across design, development, testing, and deployment phases.
• Strong programming skills in Python and SQL.
• Proficiency with cloud platforms such as AWS, Azure, or GCP.
• Hands-on experience with Databricks, Snowflake, AWS EMR, AWS RDS, Azure SQL, or GCP Cloud SQL, Apache Spark, Databricks Workflow and Apache Airflow.
• Understanding Lakehouse, Data Mesh, data governance, and modern data pipelines.
• Ability to deliver API-first services at scale.
• Programmable cloud tooling with Terraform or CloudFormation.
• Strong problem-solving and analytical thinking.
• Experience guiding and supporting junior engineers.
• Excellent communication and collaboration skills.
• Hands-on experience in observability and data quality.

Responsibilities

• Design, develop, and maintain scalable data solutions.
• Build and optimize data pipelines, ensuring data quality and reliability.
• Develop SDKs, APIs, and microservices to support enterprise-wide data and analytics needs.
• Collaborate with cross-functional teams including product managers, data scientists, and engineers to deliver high-impact solutions.
• Implement best practices in software development, data governance, and platform observability.
• Participate in code reviews, provide feedback, and mentor junior engineers.

Skills

Distributed systems

Cloud-native

Python

SQL

Databricks

Snowflake

Spark

Airflow

Terraform

Observability

Data quality

Mentoring

Communication

APIs/microservices

Tools

Terraform

CloudFormation

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 Foundation team is at the forefront of this mission—building scalable, secure, and intelligent platforms that power decision‑making across Nike’s global supply chain and planning ecosystem.

WHO WE ARE LOOKING FOR

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

Skillset Required

• 5-7 years of experience in software development, with a strong foundation in distributed systems, cloud-native architectures, and data platforms.

• Experience with various stages of software development, including design, development, testing, and deployment.

• Strong programming skills in Python, SQL etc.

• Deep expertise with cloud platforms like AWS, Azure, or GCP.

• Hands‑on experience with Databricks, Snowflake, AWS EMR, AWS RDS, Azure SQL, or GCP Cloud SQL, Apache Spark, Databricks Workflow and Apache Airflow.

• Strong understanding ofLakehouse architecture, Data Mesh principles, data governance frameworks, and modern data pipelines.

• Proven ability to deliver high‑impact, API‑first services at scale.

• Proficiency with tools like Terraform or AWS CloudFormation is critical for managing cloud infrastructure programmatically, ensuring consistency, and enabling automation.

• Strong problem‑solving and analytical thinking skills.

• Experience in guiding and supporting junior engineers.

• Excellent communication and collaboration skills.

• Good hands on experience in observability and Data quality

Skillset Preferred (Good to Have)

• Basic understanding of Machine Learning and Generative AI concepts

• Exposure to LLMs (Large Language Models) and their applications (data cataloging, data schematic layer, data enrichment, etc.)

• Familiarity with prompt engineering techniques and evaluation

• Experience or exposure to AI frameworks/libraries, Agentic AI such as LangChain, OpenAI APIs, or similar

• Understanding of RAG (Retrieval-Augmented Generation) patterns and vector databases is a plus

• Awareness of AI guardrails, responsible AI, and data privacy considerations

WHAT YOU’LL WORK ON

As a Software Engineer III, you will -

• Design, develop, and maintain scalable data solutions.

• Build and optimize data pipelines, ensuring data quality and reliability.

• Develop SDKs, APIs, and microservices to support enterprise-wide data and analytics needs.

• Collaborate with cross-functional teams including product managers, data scientists, and other engineers to deliver high‑impact solutions.

• Implement best practices in software development, data governance, and platform observability.

• Participate in code reviews, provide feedback, and mentor junior engineers.