Database Modeler - III
Hybrid
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 federated 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
Skilled Data Mesh Data Modeler with Data Engineering expertise in Databricks
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
Requirements:
Previous experience in data products modeling within a data mesh architecture
Strong hands-on expertise in Databricks and Spark
Proficiency in SQL and Python
Problem-solving and troubleshooting skills
Strong communication skills
Full benefits available, including paid time off, medical/dental/vision/life insurance, 401K, parental leave, and more. Our compensation reflects the cost of labor across several US geographic markets. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.
THE PROMISES WE MAKE:
At Crystal Equation, we empower people and advance technology initiatives by building trust. Your recruiter will prep you for the interview, obtain feedback, guide you through any necessary paperwork and provide everything you need for a successful start. We will serve to empower you along the way and provide the path for your professional journey.
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