{"id":2889903,"url":"https://alion.io/job/atlas-systems-p1-gp-databricks-apps-developer","title":"P1 - GP - Databricks Apps Developer","company":{"id":2282715,"name":"Atlas Systems •","domain":"atlassystems.com","url":"https://alion.io/company/atlassystems","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"BambooHR","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-25T05:49:26Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":18000,"max_usd":48000,"period":"year","method":"role_country_seniority_unknown","sample_n":166},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"JavaScript","optional":false},{"name":"Least Privilege","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Scrum","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Streamlit","optional":false},{"name":"Azure","optional":true},{"name":"LLM","optional":true},{"name":"MLFlow","optional":true}],"status":"live","first_seen_at":"2026-10-19T00:00:00Z","employer_posted_date":"2026-10-19","last_verified_at":"2026-10-25T15:56:43Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"Job Description - Databricks Apps Developer\nAbout Us:\nAtlas Systems Inc. is a Software Solutions company headquartered in East Brunswick, NJ. Incorporated in 2003, Atlas provides solutions across GRC, Technology, Procurement, Healthcare Provider and Oracle to customers globally. Atlas helps organizations modernize applications, data platforms and business operations.\nFor more information, please visit our website https://www.atlassystems.com/\nPlease click on the link below to apply for this position: https://atlas.bamboohr.com/careers/631\nJob Title: Databricks Apps Developer\nLocation: Bangalore, India (Work from Office / Hybrid as applicable)\nWork Timing: IST Hours; flexibility to collaborate with customer teams as required\nExperience: 5+ Years Overall; Databricks / data application development experience preferred\nEngagement Type: Long-term Contract or Full-Time\nPosition Summary\nWe are seeking a hands-on Databricks Apps Developer to design, build, test and maintain secure, interactive data applications on the Databricks platform. The developer will turn business and analytics requirements into intuitive applications that enable users to explore governed data, run workflows, monitor business processes and interact with data products. The role requires strong Python and application-development skills, practical experience with Databricks services, and an understanding of secure enterprise data access, application deployment and production support.\nThe ideal candidate will collaborate with data engineers, analytics teams, solution architects and business stakeholders to deliver maintainable production-quality code and use AI-assisted development tools responsibly.\nKey Responsibilities\nDatabricks Apps Development\nDesign, develop and maintain interactive applications using Databricks Apps and supported frameworks such as Streamlit or Dash, based on project requirements.\nBuild intuitive user interfaces, forms, dashboards, filters, data exploration views and workflow-oriented experiences.\nDevelop reusable components, modular code, validation logic, error handling and clear user feedback.\nTranslate wireframes, user stories and functional requirements into tested application features and accessible user experiences.\nData Access, SQL & Platform Integration\nConnect applications to governed data in Databricks using Databricks SQL, SQL warehouses, Unity Catalog and approved platform interfaces.\nWrite, optimize and troubleshoot SQL queries; use pagination, filtering and caching where appropriate for responsive performance.\nIntegrate REST APIs and enterprise systems using secure authentication, robust request handling, timeouts, retries and suitable logging.\nWork with Delta Lake tables, lakehouse data models and curated data products; collaborate with data engineering teams on data quality.\nSecurity, Governance & Responsible Development\nApply Unity Catalog permissions, least-privilege access, approved identity/service-principal patterns and secrets-management practices.\nEnsure application access respects user permissions and organizational data policies; protect credentials and sensitive information.\nImplement input validation, secure coding, dependency hygiene, audit-friendly logging and appropriate error handling.\nCollaborate with platform and security teams on access configuration, governance, deployment controls and compliance.\nTesting, Deployment & Production Support\nCreate unit and integration tests; validate functionality, security, data correctness, usability and performance before release.\nUse Git-based source control, code reviews and CI/CD or approved deployment workflows across environments.\nTroubleshoot application, SQL, dependency, permissions and integration issues; document root causes and durable fixes.\nMaintain technical documentation, deployment instructions, support runbooks and operational guidance.\nCollaboration & AI-First Engineering\nCollaborate with product owners, business analysts, data engineers, data scientists, QA, DevOps and platform teams in Agile delivery.\nEstimate work, clarify requirements, communicate progress and risks, and deliver increments against acceptance criteria.\nUse approved AI coding assistants to accelerate development, testing and documentation while validating output for correctness, security and maintainability.\nRequired Qualifications\nBachelor’s degree in Computer Science, Engineering, IT or a related discipline, or equivalent practical experience.\n5+ years of software/application development experience with strong hands-on Python skills and a track record of delivering maintainable applications.\nPractical experience building interactive web applications using Streamlit, Dash or a comparable Python framework; Databricks Apps experience is strongly preferred.\nWorking knowledge of Databricks platform concepts and data access patterns, including Databricks SQL and/or Spark SQL.\nStrong SQL skills, including joins, aggregations, filtering, query troubleshooting and performance awareness.\nExperience integrating REST APIs and handling authentication, JSON payloads, exceptions and service failures.\nUnderstanding of Git, code reviews, testing, debugging and software development lifecycle practices.\nStrong analytical, communication and collaboration skills; ability to translate business needs into technical solutions.\nTechnical Skills\nProgramming & Application Frameworks\nPython, object-oriented programming, modular design, Streamlit and/or Dash; HTML, CSS and JavaScript fundamentals are beneficial.\nDatabricks & Data Engineering\nDatabricks Apps, Databricks SQL, SQL warehouses, Unity Catalog, Delta Lake, Spark SQL and lakehouse architecture; PySpark is an advantage.\nData & Integration\nAdvanced SQL, REST APIs, JSON, API authentication, data validation, pagination, caching and enterprise integration.\nSecurity & Platform Operations\nRole-based access control, least privilege, secrets management, secure coding, application permissions, logging and troubleshooting.\nDevOps & Quality\nGit/GitHub or Azure DevOps, code review, unit/integration testing, CI/CD fundamentals, release management and Agile/Scrum.\nPreferred / Nice-to-Have Skills\nDatabricks Asset Bundles or equivalent deployment approaches, workflows/jobs, MLflow or model-serving integrations, AI/LLM-enabled application patterns, cloud platforms and automated testing.\nCore Competencies\nPython Application Development\nDatabricks Apps & Lakehouse Data Consumption\nSQL Development & Query Optimization\nInteractive UI / UX Implementation\nAPI & Enterprise System Integration\nSecurity, Data Governance & Privacy\nTesting, Debugging & Production Support\nGit, CI/CD & Agile Delivery\nRequirements Analysis & Stakeholder Collaboration\nOwnership, Problem Solving & Continuous Improvement\nSuccess Measures\nDelivery of secure, user-friendly Databricks Apps that meet business requirements and agreed timelines.\nReliable, performant access to governed enterprise data with appropriate authorization and data protection.\nHigh code quality, maintainability, appropriate test coverage, and effective source-control and review practices.\nSuccessful integration with required data sources and APIs, supported by clear error handling and documentation.\nReduced manual effort or improved speed, accuracy and usability for the target business process.\nEffective collaboration, timely production issue resolution and continuous improvement based on stakeholder feedback.","description_format":"text","description_chars":7439,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Managed IT Services (MSP)","EHR & Clinical Software"],"lifecycle":[{"event":"open","at":"2026-10-20T01:44:33Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring 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