ACG2387JOB
Our client a top distribution service company is looking for a qualified candidate to join their firm
- Evaluate business and technological areas to create realistic logical and physical data models.
- Build data models that are adaptable to changing business requirements.
- Establish modeling standards rules best practices and authorized modeling approaches.
- Combine several logical source models into a single logically coherent enterprise model.
- Identify key corporate data assets based on the informations business decision risk mitigation or organizational effect.
- Establish Master Data Management for key data assets and reference data and chair the stewardship committee.
- Develop and administer data governance practices.
- Lead data integration business intelligence and corporate information management efforts by streamlining data processing to enable reuse.
- Create data storage such as warehouses data lakes and data marts to support business intelligence activities.
- Collect and identify the different metadata assets.
- Provide data architectural best practices and recommendations as well as a model of the future state.
- Ensure that important information assets modeled as part of any project are represented in the enterprise information architecture (EIA) and adhere to the EIAs design principles and criteria.
- Provide thought leadership in database architecture data modelling security integration mining and advanced analytics approaches.
Requirements
- Bacherlors degree in Computer Science or related engineering field
- At least 5 years of conceptual logical and physical modeling experience with a focus on rationalizing data objects.
- Proven ability to manage data migrations across software packages and bespoke applications.
- The ability to determine the worth of a data asset to the organization.
- Ability to work with business stakeholders analysts and data stewards to determine whether the model is appropriate for usage.
- Experienced working in Linux systems with opensource software technologies.
- Experienced with the ETL ELT and DAD procedures.
- Extensive experience with multidimensional data modeling start schemas snowflakes normalized and denormalized modes and Kimball techniques.
- Strong negotiating and consensusbuilding skills.
- Able to travel up to 20% both internationally and domestically.
- Capable of performing vital work responsibilities.
- Experience working with opensource Linuxbased technologies is a plus
- Verifiable track record of developing an enterprise analytics capability from scratch.
- Have experience in constructing data warehouses and data lakes.
Contact: Dung Nguyen Nhat Anh Nguyen
Due to the immense number of applicants only shortlisted candidates will be contacted.
Bacherlor's degree in Computer Science or related engineering field At least 5 years of conceptual, logical, and physical modeling experience, with a focus on rationalizing data objects. Proven ability to manage data migrations across software packages and bespoke applications. The ability to determine the worth of a data asset to the organization. Ability to work with business stakeholders, analysts, and data stewards to determine whether the model is appropriate for usage. Experienced working in Linux systems with open-source software technologies. Experienced with the ETL, ELT, and DAD procedures. Extensive experience with multidimensional data modeling, start schemas, snowflakes, normalized and denormalized modes, and Kimball techniques. Strong negotiating and consensus-building skills. Able to travel up to 20%, both internationally and domestically. Capable of performing vital work responsibilities. Experience working with open-source Linux-based technologies is a plus Verifiable track record of developing an enterprise analytics capability from scratch. Have experience in constructing data warehouses and data lakes. Contact: Dung Nguyen, Nhat Anh Nguyen Due to the immense number of applicants, only shortlisted candidates will be contacted.