Data Modeller

1 day ago

Mumbai, India Exponentia.ai Full time

About us Exponentia.ai is an AI tech organization with presence across India, Singapore, Middle East, and the UK. We are an innovative and disruptive organization, working on cutting edge technology to help our clients transform into the enterprises of the future. We provide artificial intelligence-based products/platforms capable of automated cognitive decision making to improve productivity, quality, and economics of the underlying business processes. Currently, we are rapidly expanding across machine learning, Data Engineering and Analytics functions. Exponentia.ai has developed long term relationships with world class clients such as PayPal, PayU, SBI Group, HDFC Life, Kotak Securities, Wockhardt and Adani Group amongst others. One of the top partners of DataBricks, Azure, Cloudera (leading analytics player) and Qlik (leader in BI technologies), Exponentia.ai has recently been awarded the ‘Innovation Partner Award’ by Qlik and "Excellence in Business Process Automation Award" (IMEA) by Automation Anywhere. Designation: Data Modeller Experience :5 Years+ **Job Description**: The data modeler designs, implements, and documents data modeling solutions for cloud data warehouses, data vaults and data marts. These solutions support enterprise information management, business intelligence, machine learning, data science, and similar use cases. 1. Be responsible for the development of the conceptual, logical, physical data vaults and dimensional models for data warehouses and data lakes on target platforms (Azure/AWS/Snowflake) 2. Catalog and document the data fields for discoverability on the platform 3. Be the SPOC for platform data vault and coordinate with various business teams for data governance. **Responsibilities**: - Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL) and data tools (reporting, visualization, analytics, and machine learning). Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models. - Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization. - Hands-on modeling, design, configuration, installation, performance tuning, and sandbox POC. - Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks **Skills**: - Bachelor's or master's degree in computer/data science technical or related experience. - 5+ years of hands-on relational, dimensional, and/or analytic experience - Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required. - Good knowledge of metadata management, data modeling, and related tools (Erwin or ER Studio or others) required. - Experience in team management, communication, and presentation

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