Job Description: This role will support product teams to design, build, and implement data and analytics products and solutions for various stakeholders to enable our journey in becoming an insights-led organization. Job Responsibilities: Develop logical data model based on business requirements in order to determine the completeness and quality of the information and process components (e.g., Data Flow Diagram, Entity Relationship Models). Develops data analytics products (new data ingestion, data processing ETL, data enhancements, master data, data integration). Connect business processes to data product functionality and ensure the reuse, integration, maintainability and efficiency. Analyze business analytical requirements (e.g., functional and technical requirements, data need, business processes) by conducting information-gathering sessions with stakeholders, analyzing the information and prioritizing the requirements to gain understanding of the business needs. Engages with Data governance team to define required data quality controls and DevOps process for data products and implement them for data and analytics solutions. Job Requirements: Experience using Python and working with relational SQL databases Experience using CI/CD tools Demonstrated proficiency in using Azure platform for Data and Analytics products specially focused in Data Services (CosmosDB, DynamoDB, Databricks, Glue, DataLake, Redshift etc.) 3+ years of developing and managing data products from ingestion to operations. Bachelor’s Degree in a related field or equivalent required 3+ years of experience supporting data analytics solutions. Solid knowledge about data modeling, architecture, ETL and cloud technologies (such as AWS, Azure, Alteryx, etc.)
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