{"id":4069030,"url":"https://alion.io/job/ust-databricks-developer","title":"Databricks Developer","company":{"id":1774626,"name":"UST","domain":"ust.com","url":"https://alion.io/company/ust-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"RippleHire","truth_index":{"grade":"B","score":76,"open_postings":95,"ghost_share":0,"stale_share":0.979,"repost_share":0,"time_to_fill_p50_days":34,"computed_at":"2026-11-11T05:49:22Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"LangChain","optional":false},{"name":"OpenAI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Agile","optional":true},{"name":"ETL/ELT","optional":true}],"status":"live","first_seen_at":"2026-11-11T12:47:53Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-11T12:47:53Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Who we are:\nAt UST, we help the world’s best organizations grow and succeed through transformation. Bringing together the right talent, tools, and ideas, we work with our client to co-create lasting change. Together, with over 30,000 employees in 30+ countries, we build for boundless impact—touching billions of lives in the process. Visit us at .\nJob Description\n·Minimum 6+ years in Data Engineering, with at least 4 years of hands-on experience in Databricks and Azure ecosystem.\n··End-to-End Data Pipeline Delivery - Proven track record of building and owning ETL/ELT pipelines, data models, and platform components at enterprise scale across complex business domains.\n·Expert SQL Skills – Advanced proficiency in complex joins, window functions, CTEs, query optimization, and performance tuning across large datasets.\n·Strong PySpark & Python – Hands-on experience building distributed data processing pipelines, transformations, and automation scripts using PySpark and Python.\n· Databricks Expertise – Deep working knowledge of Delta Lake, Unity Catalog, Workflows, medallion architecture (bronze-silver-gold), notebook development, and lakehouse best practices.\n·Clean Code & Engineering Discipline – Writes modular, well-documented, and testable code. Follows coding standards, maintains version control hygiene, and builds reusable components that other developers can extend.\n·Problem Solving & Debugging – Strong ability to diagnose and resolve complex data pipeline failures, distributed system issues, and production incidents under pressure.\n·Performance Tuning – Demonstrated expertise in optimizing Spark jobs, SQL queries, and storage layers for cost efficiency, throughput, and reliability.\n··Developer Ownership Mindset - Takes end-to-end responsibility from development through unit testing, deployment validation, and production support - not just writing code and handing off.\n·Adaptability – Comfortable navigating evolving technology stacks, shifting priorities, and cross-functional collaboration in a dynamic, fast-paced Agile environment.\n·Team Player – Collaborative engineer who actively contributes to code reviews, architecture discussions, knowledge sharing, and mentoring within a globally distributed team.\n·AI Exposure – Familiarity with AI/ML concepts such as model training pipelines, feature engineering, RAG architectures, or tools like Azure OpenAI and LangChain.\n··Experience working with supply chain data domains such as procurement, logistics, inventory, or demand planning is a strong plus. Understanding of SAP or ERP data structures in a supply chain context is an added advantage.\n·Full Project Lifecycle & Cross-Team Collaboration – Has worked through the complete project lifecycle — from requirements gathering to production deployment. Experienced in collaborating with API and UI/UX teams, and understands how data flows end-to-end across upstream sources, backend services, APIs, and front-end applications. \nWhat we believe:\nWe’re proud to embrace the same values that have shaped UST since the beginning. Since day one, we’ve been building enduring relationships and a culture of integrity. And today, it's those same values that are inspiring us to encourage innovation from everyone, to champion diversity and inclusion and to place people at the centre of everything we do. \nHumility:\nWe will listen, learn, be empathetic and help selflessly in our interactions with everyone.\nHumanity:\nThrough business, we will better the lives of those less fortunate than ourselves.\nIntegrity:\nWe honour our commitments and act with responsibility in all our relationships.\nEqual Employment Opportunity Statement\nUST is an Equal Opportunity Employer. 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