Job
Description
Seosaph-infotech is a rapidly growing company in customized software development, providing advanced technology solutions and trusted services across multiple business verticals. You will be responsible for the following key responsibilities: - 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. - Govern data design/modelling documentation of metadata (business definitions of entities and attributes) and constructions 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, 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 needed. - Expertise in data modelling tools (ER/Studio, Erwin, IDM/ARDM models, CPG / 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. Please note that the company details were not provided in the job description. Seosaph-infotech is a rapidly growing company in customized software development, providing advanced technology solutions and trusted services across multiple business verticals. You will be responsible for the following key responsibilities: - 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. - Govern data design/modelling documentation of metadata (business definitions of entities and attributes) and constructions 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, 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 needed. - Expertise in data modelling tools (ER/Studio, Erwin, IDM/ARDM models, CPG / 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. Please note that the company details were not provided in the job description.
