Databricks

We are looking for an experienced Databricks Developer with strong hands-on expertise in Databricks and Databricks Genie. The ideal candidate should have experience building AI-powered data applications creating conversational analytics solutions using Genie and developing scalable data engineering solutions within the Databricks ecosystem.

• Design develop and maintain data solutions using Databricks.

• Build applications leveraging Databricks Genie for conversational analytics and business user interaction.

• Create AI-enabled apps using Genie integrated with enterprise datasets.

• Develop and optimize notebooks using PySpark and SQL.

• Design scalable ETL/ELT pipelines within the Databricks Lakehouse platform.

• Collaborate with Data Engineers Data Scientists and Business stakeholders to deliver analytics solutions.

• Implement data models transformations and data quality validations.

• Integrate Databricks workflows with cloud storage and external data sources.

• Optimize performance of Spark jobs and Databricks workloads.

• Support deployment testing and maintenance of Databricks-based applications.

• Ensure best practices for security governance and scalable data architecture.

• Strong hands-on experience with Databricks.

• Experience working with Databricks Genie.

• Experience creating applications using Genie.

• Proficiency in PySpark and Spark SQL.

• Strong SQL development skills.

• Experience with Databricks notebooks workflows and job scheduling.

• Understanding of Delta Lake and Lakehouse architecture.

• Experience building ETL/ELT pipelines.

• Knowledge of data modeling and performance optimization.

• Good understanding of REST APIs and application integration is preferred.

• Experience with Azure Databricks or AWS Databricks.

• Knowledge of Unity Catalog and Databricks governance.

• Exposure to Generative AI and LLM-based enterprise applications.

• Experience developing data visualization or analytics applications.

• Python programming beyond PySpark.

• CI/CD knowledge for Databricks deployment.

38 years of relevant experience in Data Engineering / Databricks Development.

Bachelors degree in Computer Science Information Technology Engineering or related field.

Databricks Developer Databricks Engineer Azure Databricks Databricks Genie Genie Apps PySpark Developer Spark SQL Delta Lake Lakehouse Data Engineer Generative AI Databricks Databricks AI Applications Unity Catalog.

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Option 2

Job Title: Databricks Genie / AI Application Developer
Experience: 38 Years
Location: Location
Employment Type: Full-time

We are looking for a skilled Databricks Developer with hands-on experience in Databricks Genie and building AI-powered data applications. The ideal candidate should have strong expertise in the Databricks ecosystem data engineering SQL Python and the ability to create user-friendly applications leveraging Databricks Genie.

• Develop and implement data and AI solutions using the Databricks platform.

• Work hands-on with Databricks Genie to create and configure intelligent data experiences.

• Build applications and conversational interfaces using Genie capabilities.

• Enable users to interact with enterprise data using natural language queries.

• Create and optimize data pipelines using PySpark Python and SQL.

• Develop and manage Databricks notebooks workflows and jobs.

• Work with Delta Lake and Databricks SQL for data transformation and analytics.

• Design semantic layers and prepare datasets to support Genie-based applications.

• Integrate Databricks applications with enterprise data sources and downstream systems.

• Ensure data quality performance security and scalability.

• Collaborate with Data Engineers Data Scientists AI/ML teams and business stakeholders.

• Troubleshoot and optimize Databricks workloads and applications.

• Participate in solution design development testing deployment and production support.

• Strong hands-on experience with Databricks.

• Experience working with Databricks Genie.

• Experience creating applications or solutions using Databricks Genie.

• Strong knowledge of SQL and Python/PySpark.

• Experience with Databricks SQL and Delta Lake.

• Understanding of data engineering and ETL/ELT processes.

• Experience developing and optimizing Spark jobs.

• Knowledge of Databricks notebooks workflows and job scheduling.

• Understanding of cloud platforms such as Azure AWS or GCP.

• Experience working with REST APIs and application integrations.

• Strong problem-solving and analytical skills.

• Experience with Generative AI and LLM-based applications.

• Knowledge of Databricks AI/BI capabilities.

• Experience with Unity Catalog and Databricks security/governance.

• Experience with MLflow.

• Knowledge of RAG Vector Search or AI agent-based applications.

• Experience developing web applications using Streamlit or similar frameworks.

• Databricks certification will be an added advantage.

• Overall Experience: 58 years

• Relevant Databricks Experience: Minimum 2 years

• Databricks Genie Experience: Hands-on experience is mandatory

Bachelors degree in Computer Science Information Technology Engineering or a related field.

Key Requirement: The candidate must have practical experience working with Databricks Genie and creating business applications or AI-powered solutions using Genie along with strong Databricks SQL Python and PySpark expertise.

Required Skills:

Databricks Experience working with Databricks Genie and creating apps with help of Genie