Subject matter knowledge in creating data models for corporate analytics that are in compliance with standards, allowing for usability and conformance throughout the enterprise.
In charge of creating data strategies, vocabulary consistency, and transformations via intricate analytical relationships and access paths, as well as data mappings at the data-field level.
Collaborate with Product Management and Business stakeholders to ascertain and assess the data sources required to fulfill project and business objectives.
Collaborate with Tech Leads and Product Architects to comprehend end-to-end data implications, data integration, and functioning business systems.
Work with DQ Leads, for data integrity improvement/quality resolution so that these improvements are addressed at the source.
Domain knowledge in supply chain, retail, or inventory management.
Critical Skills to Have:
Five or more years of experience in the field of information technology
Has a general understanding of several software platforms and development technologies
Has experience with SQL, RDBMS, Data Lakes, and Warehouses Knowledge of the Hadoop ecosystem, Azure, ADLS, Kafka, Apache Delta, and Databricks/Spark.
Possessing knowledge of any data modeling tool, such as ERStudio or Erwin, is advantageous.
Collaboration history with Product Managers, Technology teams, and Business Partners
Strong familiarity with Agile and DevOps techniques
Excellent communication skills both in writing and speaking
