Looking for a Data Modeler to design, build, and maintain data models on the Data bricks platform to support data analytics and business intelligence applications.

Responsibilities:

• Design and implement scalable and efficient data models within the data mesh architecture, considering factors such as domain-driven design, data as a product, and data governance.
• Work closely with data architects, data engineers, business users and translate business needs into technical solutions, and communicate data model designs effectively.
• Leverage Databricks for data engineering tasks such as data processing, data validation and data orchestration.
• Optimize data pipelines and ensure reliable and efficient data processing, high performance, and scalability.
• Implement data validation rules and data quality checks to ensure data integrity and consistency.

General Requirements:

• Bachelor's degree in Computer Science or equivalent experience.
• Data Mesh Data Modeler with Databricks Expertise.
• Skilled Data Mesh Data Modeler with Data Engineering expertise in Databricks.
• Familiarity with Databricks platform, including Spark, Delta Lake, and Unity Catalog.
• Lead the design and implementation of data models and data products within the Data Mesh Architecture.
• Design, implement and optimize Data Pipelines.
• Design, implement and manage the lifecycle of Data Products.
• Previous experience in data products modeling within a data mesh architecture.
• Strong hands-on expertise in Databricks and Spark.
• Proficiency in SQL and Python.
• Proficiency in SQL for data manipulation and querying.
• Experience with ETL tools and frameworks, and designing data pipelines for data ingestion and transformation.
• Problem-solving and troubleshooting skills.
• Strong communication skills.