Job Description

Job Purpose: To lead and own the Data platform for a Business vertical Experience With overall experience between 10 - 15 years, applicant must have minimum 7 years of hard core professional experience in data modeling for large Data Warehouse with multiple Sources. Technical Skills Expertise in core skill of data modeling principles/methods including conceptual, logical & physical Data Models Ability to utilize BI tools like Power BI, Tableau, etc to represent insights Expert knowledge of metadata management, data modeling tools like ER Studio, Erwin or others. Hands-on experience in relational, dimensional and/or analytical modelling (using RDBMS, dimensional, NoSQL, ETL and data ingestion protocols). Good to have knowledge of - Azure powershell scripting or Python scripting for data transformation in ADF SSIS, SSAS, BI tools like Power BI Azure PaaS components like Azure Data Factory, Azure Data Bricks, Azure Data Lake, Azure Synapse (DWH), Polybase, ExpressRoute tunneling, etc. API integration Responsibility Front face with business representatives to understand the data office requirements Understanding the business requirement, .translate them into data requirement, articulate the requirement to the ta engineers, build the data models for business consumption. Work with development team to implement the proposed data model into physical data model, build data flows Work with development team to optimize the database structure with best practices applying optimization methods. Analyze, document and implement to re-use of data model for new initiatives. Will interact with stakeholder, Users, other IT teams to understand the eco system and analyze for solutions Qualifications Bachelors of Computer Science or Equivalent Should have certification done on Data Modeling and Data Analyst. Good to have a certification of Azure Fundamental and Azure Engineer courses (AZ900 or DP200/201) Behavioral Competencies Should have excellent problem-solving and time management skills Strong analytical thinking skills Applicant should have excellent communication skill and process oriented with flexible execution mindset. Strategic Thinking with Research and Development mindset. Clear and demonstrative communication Efficiently identify and solves issues Identify, track and escalate risks in a timely manner.