Databricks Developer & Data Modeler

We are seeking experienced Databricks Developers and Data Modelers with a minimum of 5 years of hands-on experience working with Databricks on cloud platforms such as AWS and this role you will design develop and optimize scalable data solutions leveraging Databricks to enable advanced analytics and data-driven decision making.

• Design develop and maintain scalable ETL pipelines and data models using Databricks on AWS and Azure.
• Collaborate with data architects analysts and business stakeholders to understand requirements and deliver high-quality solutions.
• Optimize data workflows for performance reliability and cost-efficiency on cloud platforms.
• Implement best practices for data governance security and compliance.
• Troubleshoot and resolve issues related to data ingestion transformation and storage.
• Document technical designs processes and procedures.

• Databricks Expertise: Extensive experience developing in Databricks including notebooks jobs clusters and workspace management.
• Cloud Platforms: Proven experience deploying and managing Databricks workloads on AWS and Azure.
• Data Modeling: Strong skills in designing and implementing dimensional and relational data models.
• ETL Development: Advanced knowledge of building scalable ETL pipelines using Spark (PySpark Scala or SQL).
• Programming: Proficiency in Python and/or Scala for data engineering tasks.
• SQL: Expert-level SQL for querying transforming and analyzing large datasets.
• Performance Optimization: Experience tuning Spark jobs and optimizing data workflows for cloud environments.
• Data Security: Knowledge of data governance access control and compliance standards.
• Collaboration: Strong communication skills and proven ability to work in cross-functional teams.

• ML & Advanced Analytics: Experience integrating Databricks with machine learning frameworks (MLlib TensorFlow etc.).
• DevOps: Familiarity with CI/CD pipelines and automation tools for data deployments.
• Visualization: Experience with BI tools such as Power BI Tableau or Databricks dashboards.
• Streaming Data: Knowledge of real-time data processing (Structured Streaming Kafka etc.).
• Delta Lake: Hands-on experience with Delta Lake for ACID transactions and scalable data lakes.
• Infrastructure as Code: Experience with Terraform ARM templates or AWS CloudFormation.
• Cloud Cost Management: Understanding of cloud cost optimization and monitoring tools.
• Certifications: Relevant certifications in Databricks AWS or Azure are a plus.

• Bachelors or Masters degree in Computer Science Information Technology Engineering or related field.
• Minimum 5 years of professional experience in Databricks development and data modeling on AWS and/or Azure.
• Excellent problem-solving and analytical skills.