{"id":1665729,"url":"https://alion.io/job/nike-software-engineer-iii-data-engineering-itc","title":"Software Engineer III - Data Engineering , ITC","company":{"id":1634,"name":"Nike","domain":"nike.com","url":"https://alion.io/company/nike","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":17500,"max_usd":42000,"period":"year","method":"role_seniority_country_cell","sample_n":18},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"CloudFormation","optional":false},{"name":"Databricks","optional":false},{"name":"GCP","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"AI Agents","optional":true},{"name":"LangChain","optional":true},{"name":"LLM Guardrails","optional":true},{"name":"Machine Learning","optional":true},{"name":"OpenAI","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-09-30T00:00:00Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-10-07T22:25:56Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"WHO YOU’LL WORK WITH\nAt 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.\nWHO WE ARE LOOKING FOR\nWe 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.\nSkillset Required\n5-7 years of experience in software development, with a strong foundation in distributed systems, cloud-native architectures, and data platforms.\n\nExperience with various stages of software development, including design, development, testing, and deployment.\n\nStrong programming skills in Python, SQL etc.\n\nDeep expertise with cloud platforms like AWS, Azure, or GCP.\n\nHands-on experience with Databricks, Snowflake, AWS EMR, AWS RDS, Azure SQL, or GCP Cloud SQL, Apache Spark, Databricks Workflow and Apache Airflow.\n\nStrong understanding of Lakehouse architecture, Data Mesh principles, data governance frameworks, and modern data pipelines.\n\nProven ability to deliver high-impact, API-first services at scale.\n\nProficiency with tools like Terraform or AWS CloudFormation is critical for managing cloud infrastructure programmatically, ensuring consistency, and enabling automation.\n\nStrong problem-solving and analytical thinking skills.\n\nExperience in guiding and supporting junior engineers.\n\nExcellent communication and collaboration skills.\n\nGood hands on experience in observability and Data quality\n\nSkillset Preferred (Good to Have)\nBasic understanding of Machine Learning and Generative AI concepts\n\nExposure to LLMs (Large Language Models) and their applications (data cataloging, data schematic layer, data enrichment, etc.)\n\nFamiliarity with prompt engineering techniques and evaluation\n\nExperience or exposure to AI frameworks/libraries, Agentic AI such as LangChain, OpenAI APIs, or similar\n\nUnderstanding of RAG (Retrieval-Augmented Generation) patterns and vector databases is a plus\n\nAwareness of AI guardrails, responsible AI, and data privacy considerations\n\nWHAT YOU’LL WORK ON\nAs a Software Engineer III, you will -\nDesign, develop, and maintain scalable data solutions.\n\nBuild and optimize data pipelines, ensuring data quality and reliability.\n\nDevelop SDKs, APIs, and microservices to support enterprise-wide data and analytics needs.\n\nCollaborate with cross-functional teams including product managers, data scientists, and other engineers to deliver high-impact solutions.\n\nImplement best practices in software development, data governance, and platform observability.\n\nParticipate in code reviews, provide feedback, and mentor junior engineers.","description_format":"text","description_chars":2863,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Footwear","Sporting Goods","Sportswear & 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