SXM Deltalake Developer

Description:

What you’ll do
• Spearhead the development of conceptual, logical, and physical data models, while
• implementing data marts/data warehouse/data lake/data lakehouse on Spark-based
• platforms
• Analyse existing models to identify variances/gaps and devise strategies to achieve
• alignment.
• Establish and enforce best practices and standards for data models.
• Generate Data Flow diagrams and relevant artifacts to depict data integrations within
• targeted systems.
• Collaborate closely with Data Owners to understand business data requirements and
• clarify terms and business rules.
• Facilitate walkthrough sessions with Data Owners and stakeholders to review and
• validate data models for accuracy.
• Demonstrate strong communication skills and effective engagement with delivery
• colleagues to ensure successful project outcomes.
• Comply with Data Architecture standards and guardrails.
• Proactively manage issues, risks, actions, and dependencies, escalating when
• necessary.

Experience:
Must have:
• Possess a minimum of 5+ years of Data Modelling experience in Data Lake/Delta
• Lakehouse/Data Warehouse on Spark based platforms on AWS
• Demonstrate a minimum of 1 year of experience working with/in Databricks.
• Mandatory experience of Data Modelling on Delta Lakehouse
• Knowledge in handling Spark streaming data over Delta Lakehouse.
• Hands-on experience with data modelling tools for performing reverse and forward
• engineering of as-is and to-be data models, in any of the industry leading data modelling
• tools such as Erwin/ ER/Studio etc.
• Utilize visual notations for expressing data logical and physical models, state transitions,
• transformations, and versioning. Familiarity with UML, DPMN, ERDs, etc. is ideal.