P1 - GP - Databricks Apps Developer
Atlas Systems
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Job summary
Atlas Systems Inc. in Bengaluru seeks a hands-on Databricks Apps Developer to design and build secure data applications on the Databricks platform. You will turn business requirements into intuitive UIs using Python with Streamlit or Dash, enabling governed data exploration and workflow automation.
The role collaborates with data engineers, analytics teams and business stakeholders to deliver production-quality code, with testing, deployment and maintenance in a hybrid/office setting.
Qualifications
- Bachelor’s degree in Computer Science, Engineering, IT or related field.
- 5+ years of software/app development with Python.
- Experience building interactive web apps using Streamlit or Dash; Databricks Apps preferred.
- Working knowledge of Databricks SQL, Spark SQL and data access patterns.
- Strong SQL skills and API integration experience.
- Understanding of Git, testing, CI/CD and SDLC practices.
- Excellent communication and collaboration skills.
Responsibilities
- Design, develop and maintain interactive Databricks Apps using Streamlit/Dash.
- Build dashboards, data exploration views and workflows for end users.
- Connect apps to governed data using Databricks SQL/Unity Catalog.
- Ensure secure access, validation, logging and robust error handling.
- Collaborate with data engineers, analysts and stakeholders in Agile delivery.
Skills
Education
Tools
Job description
Job Description – Databricks Apps Developer
Atlas 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.
For more information, please visit our website https://www.atlassystems.com/
Job Title: Databricks Apps Developer
Location: Bangalore, India (Work from Office / Hybrid as applicable)
Work Timing: IST Hours; flexibility to collaborate with customer teams as required
Experience: 5+ Years Overall; Databricks / data application development experience preferred
Engagement Type: Long-term Contract or Full-Time
We 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.
The 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.
- Design, develop and maintain interactive applications using Databricks Apps and supported frameworks such as Streamlit or Dash, based on project requirements.
- Build intuitive user interfaces, forms, dashboards, filters, data exploration views and workflow-oriented experiences.
- Develop reusable components, modular code, validation logic, error handling and clear user feedback.
- Translate wireframes, user stories and functional requirements into tested application features and accessible user experiences.
- Connect applications to governed data in Databricks using Databricks SQL, SQL warehouses, Unity Catalog and approved platform interfaces.
- Write, optimize and troubleshoot SQL queries; use pagination, filtering and caching where appropriate for responsive performance.
- Integrate REST APIs and enterprise systems using secure authentication, robust request handling, timeouts, retries and suitable logging.
- Work with Delta Lake tables, lakehouse data models and curated data products; collaborate with data engineering teams on data quality.
- Apply Unity Catalog permissions, least-privilege access, approved identity/service-principal patterns and secrets-management practices.
- Ensure application access respects user permissions and organizational data policies; protect credentials and sensitive information.
- Implement input validation, secure coding, dependency hygiene, audit-friendly logging and appropriate error handling.
- Collaborate with platform and security teams on access configuration, governance, deployment controls and compliance.
- Create unit and integration tests; validate functionality, security, data correctness, usability and performance before release.
- Use Git-based source control, code reviews and CI/CD or approved deployment workflows across environments.
- Troubleshoot application, SQL, dependency, permissions and integration issues; document root causes and durable fixes.
- Maintain technical documentation, deployment instructions, support runbooks and operational guidance.
- Collaborate with product owners, business analysts, data engineers, data scientists, QA, DevOps and platform teams in Agile delivery.
- Estimate work, clarify requirements, communicate progress and risks, and deliver increments against acceptance criteria.
- Use approved AI coding assistants to accelerate development, testing and documentation while validating output for correctness, security and maintainability.
- Bachelor’s degree in Computer Science, Engineering, IT or a related discipline, or equivalent practical experience.
- 5+ years of software/application development experience with strong hands-on Python skills and a track record of delivering maintainable applications.
- Practical experience building interactive web applications using Streamlit, Dash or a comparable Python framework; Databricks Apps experience is strongly preferred.
- Working knowledge of Databricks platform concepts and data access patterns, including Databricks SQL and/or Spark SQL.
- Strong SQL skills, including joins, aggregations, filtering, query troubleshooting and performance awareness.
- Experience integrating REST APIs and handling authentication, JSON payloads, exceptions and service failures.
- Understanding of Git, code reviews, testing, debugging and software development lifecycle practices.
- Strong analytical, communication and collaboration skills; ability to translate business needs into technical solutions.
- Python, object-oriented programming, modular design, Streamlit and/or Dash; HTML, CSS and JavaScript fundamentals are beneficial.
- Databricks Apps, Databricks SQL, SQL warehouses, Unity Catalog, Delta Lake, Spark SQL and lakehouse architecture; PySpark is an advantage.
- Advanced SQL, REST APIs, JSON, API authentication, data validation, pagination, caching and enterprise integration.
- Role-based access control, least privilege, secrets management, secure coding, application permissions, logging and troubleshooting.
- Git/GitHub or Azure DevOps, code review, unit/integration testing, CI/CD fundamentals, release management and Agile/Scrum.
- Databricks Asset Bundles or equivalent deployment approaches, workflows/jobs, MLflow or model-serving integrations, AI/LLM-enabled application patterns, cloud platforms and automated testing.
- Python Application Development
- Databricks Apps & Lakehouse Data Consumption
- SQL Development & Query Optimization
- Interactive UI / UX Implementation
- API & Enterprise System Integration
- Security, Data Governance & Privacy
- Testing, Debugging & Production Support
- Git, CI/CD & Agile Delivery
- Requirements Analysis & Stakeholder Collaboration
- Ownership, Problem Solving & Continuous Improvement
- Delivery of secure, user-friendly Databricks Apps that meet business requirements and agreed timelines.
- Reliable, performant access to governed enterprise data with appropriate authorization and data protection.
- High code quality, maintainability, appropriate test coverage, and effective source-control and review practices.
- Successful integration with required data sources and APIs, supported by clear error handling and documentation.
- Reduced manual effort or improved speed, accuracy and usability for the target business process.
- Effective collaboration, timely production issue resolution and continuous improvement based on stakeholder feedback.
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