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Data Modeler

Responsibilities

Participate in requirements definition, analysis and the design of logical and physical data models for Dimensional Data Model, NoSQL or Graph Data ModelLeading data discovery discussions with Business in JAD sessions and map the business requirements to logical and physical data modeling solutions.Conduct data model reviews with project team membersCapture technical metadata through data modeling toolsEnsure database designs efficiently support BI and end user requirementsDrive continual improvement and enhancement of existing systems.Collaborate with ETL/Data Engineering teams to create data process pipelines for data ingestion and transformation.Collaborate with Data Architects for data model management, documentation, and version control.Maintain expertise and proficiency in the various application areasMaintain current knowledge of industry trends and standards.

Required Skills

Strong data analysis and data profiling skillsStrong Conceptual, Logical and Physical data modeling for VLDB Data warehouse and Graph DBHands on experience with modeling tool such as ERWIN or another industry standard toolFluent in both normalized and dimensional model disciplines and techniquesMinimum of 3 years' experience in Oracle DatabaseHands experience with Oracle SQL, PL/SQL, or CypherExposure to Databricks Spark, Delta Technologies, Informatica ETL or other industry leading toolsGood knowledge or experience with AWS Redshift and Graph DB design and management.Working Knowledge on AWS Cloud technologies, mainly on the services of VPC, EC2, S3, DMS and Glue.Bachelor’s degree in software engineering, computer science or information systems (or equivalent experience)Excellent verbal and written communication skill including the ability to describe complex technical concepts in relatable terms.Ability to manage and prioritize multiple workstreams and confidence in making decisions about how to prioritize work effortsData-driven mentality. Self-motivated, responsible, conscientious, and detail orientedEffective oral and written communication skillsAbility to learn and maintain knowledge of multiple application areasAbility to work independently and in conjunction with a teamUnderstanding of industry best practices pertaining to Quality Assurance concepts and procedures.

Education/Experience Level:

Bachelor’s degree in Computer Science, Engineering, or relevant fields with 5+ years of experience as a Data and Solution Architect supporting Enterprise Data and Integration Applications or similar role for large scale enterprise solutions.3-5 years of experience with Data Modeling in finance, commercial, supply chains, procurement, Customer analytics3-5 years of experience of IT platform implementation in a technical role3-5 years of development and/or DBA experience in Relational Database Management Systems (RDBMS)2+ years of experience in Data Transformation/ETL tools and technologies, and related concepts such as data catalog1+ years of experience in Big Data Infrastructure and tuning experience in Lakehouse Data Ecosystem including Data Lake, Data Warehouses, and Graph DBAWS Solutions Architect Professional Level certificationsExtensive experience in data analysis on critical enterprise systems like SAP, E1, Mainframe ERP, SFDC, Adobe Platform and eCommerce system

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