Idexcel
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Location: Hybrid - Washington DC (1 or 2 client visits a month)
Duration: 16+ Months
Job Description – Required Skills:
Responsible for the development of the conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms (SQL/NoSQL).
Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices. The candidate must be able to work independently and collaboratively.
Implement business and DT data requirements through designing across all data platforms (relational, dimensional, and NoSQL).
Experience in writing SQL queries to perform data analysis, data profiling and ensuring referential integrity is maintained.
Understands core concepts of metadata management, data lakes, data warehouse and data lineage.
Work with business and application/solution teams to build data flows and develop conceptual/ logical/ physical data models.
Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models.
Work proactively and independently to address business requirements and articulate issues/challenges to reduce risks.
Seniority level
Mid-Senior level
Employment type
Contract
Job function
Information Technology, Analyst, and Other
Industries
IT Services and IT Consulting, Software Development, and IT System Custom Software Development
#J-18808-Ljbffr
Direct message the job poster from Idexcel
Location: Hybrid - Washington DC (1 or 2 client visits a month)
Duration: 16+ Months
Job Description – Required Skills:
Responsible for the development of the conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms (SQL/NoSQL).
Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices. The candidate must be able to work independently and collaboratively.
Implement business and DT data requirements through designing across all data platforms (relational, dimensional, and NoSQL).
Experience in writing SQL queries to perform data analysis, data profiling and ensuring referential integrity is maintained.
Understands core concepts of metadata management, data lakes, data warehouse and data lineage.
Work with business and application/solution teams to build data flows and develop conceptual/ logical/ physical data models.
Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models.
Work proactively and independently to address business requirements and articulate issues/challenges to reduce risks.
Seniority level
Mid-Senior level
Employment type
Contract
Job function
Information Technology, Analyst, and Other
Industries
IT Services and IT Consulting, Software Development, and IT System Custom Software Development
#J-18808-Ljbffr