Data Engineer
Job Description
Participate in requirements definition, analysis and the design of logical and physical data models for SAP and non SAP Data marts
Leading data discovery discussions with Business in JAD sessions and map the business requirements to logical and physical data modelling solutions.
Conduct data model reviews with project team members
Gather technical metadata through data modelling tools
Ensure database designs efficiently support BI and end user requirements
Drive continual improvement and enhancement of existing systems.
Collaborate with ETL/Data Engineering teams to create data process
Responsibilities Duties:
Ability to lead and prioritize multiple workstreams and confidence in making decisions about how to prioritize work efforts.
Data-driven mentality. Self-motivated, responsible, diligent, and detail oriented
Effective oral and written communication skills
Ability to learn and maintain knowledge of multiple application areas.
Ability to work independently and in conjunction with a team.
Understanding of industry standard methodologies pertaining to Quality Assurance concepts and procedures.
Key Skills:
Bachelor’s degree in computer science, Engineering, or relevant fields with 10+ years of experience as a Data and Solution Architect supporting Enterprise Data and Integration Applications or similar role for large scale enterprise solutions.
8+ years of experience with Data Modeling in finance, commercial, supply chains, procurement, Customer analytics
3+ years of experience in Data Transformation/ETL tools and technologies, and related concepts such as data catalog
Experiance Qualifications:
5+ years of experience in Big Data Infrastructure and tuning experience in Lakehouse Data Ecosystem including Data Lake, Data Warehouses, and Graph DB
AWS Solutions Architect Professional Level certifications
Extensive experience in data analysis on critical enterprise systems like SAP, SFDC etc
Benefits:
Training, health, insurance, commuting support, lunch service etc.