Description

You will design and implement scalable data models within a data mesh architecture using domain-driven design and federated governance.

Responsibilities

• Design and implement efficient data models and manage the lifecycle of data products within a data mesh framework.
• Leverage Databricks for data processing, validation, and orchestration tasks.
• Optimize data pipelines to ensure scalability and high performance.
• Implement data validation rules and quality checks to maintain data integrity and consistency.
• Collaborate with data architects, engineers, and business stakeholders to translate requirements into technical solutions.

Required Skills

• 5+ years of experience in data modeling and engineering.
• Expertise in Data Mesh architecture, domain-driven design, and federated governance.
• Strong hands-on experience with Databricks and Spark for large-scale data processing.
• Proficiency in SQL and Python for data transformation and validation.
• Experience designing and optimizing data pipelines for efficient data flow.
• Proven ability to implement data quality checks and ensure accuracy across systems.
• Ability to troubleshoot and solve complex problems within data systems.
• Experience with data processing and transformation workflows.

Preferred Skills

• Experience managing the lifecycle of data products within a Data Mesh architecture.
• Familiarity with data governance practices and tools for compliance.
• Knowledge of cloud platforms including AWS, Azure, or GCP.

Key Skills

Education

Any Gradute