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I hope you are doing great.
Please share your updated resume if you want to apply for the position below.
Job Title – Data Modeler
Location – Dallas, TX (Onsite)
Interview Mode- Video
Duration: 6+ Months Contract
Position Overview
Key Responsibilities:
Job Duties:
· Independently complete conceptual, logical and physical data models for any supported platform, including SQL Data Warehouse, Spark, Data Bricks Delta Lakehouse or other Cloud data warehousing technologies.
· Governs data design/modelling – documentation of metadata (business definitions of entities and attributes) and construction of database objects, for baseline and investment-funded projects, as assigned.
· Develop a deep understanding of the business domains like Customer, Sales, Finance, Supplier, and enterprise technology inventory to craft a solution roadmap that achieves business objectives, maximizes reuse.
· Drive collaborative reviews of data model design, code, data, and security features to drive data product development.
· Show expertise for data at all levels: low-latency, relational, and unstructured data stores; analytical and data lakes; SAP Data Model.
· Develop reusable data models based on cloud-centric, code-first approaches to data management and data mapping.
· Partner with the data stewards team for data discovery and action by business customers and stakeholders.
· Provides and/or supports data analysis, requirements gathering, solution development, and design reviews for enhancements to, or new, applications/reporting.
· Assist with data planning, sourcing, collection, profiling, and transformation.
· Support data lineage and mapping of source system data to canonical data stores.
· Create Source to Target Mappings (STTM) for ETL and BI developers.
Skills Required:
· Expertise in data modelling tools (ER/Studio, Erwin, IDM/ARDM models, CPG / Manufacturing/Sales/Finance/Supplier/Customer domains )
· Experience with at least one MPP database technology such as Databricks Lakehouse, Redshift, Synapse, Teradata, or Snowflake.
· Experience with version control systems like GitHub and deployment & CI tools.
· Experience of metadata management, data lineage, and data glossaries is a plus.
· Working knowledge of agile development, including DevOps and DataOps concepts.
· Working knowledge of SAP data models, particularly in the context of HANA and S/4HANA, Retails Data like IRI, Nielsen Retail.