Company Description

The Company is founded and managed by a team of professionals having a decade of global experience in Technology staffing and resourcing business. The management team has been involved in successfully sourcing more than 6000 technology experts for global locations. We have been running this business since 2013 and have been decently successful. Services are managed by an efficient team comprising of tech talent spotters, shortlisters, sourcers, resource managers, web miners with active support from the senior management team.

Job Description

Data Warehouse Architect

Princeton, NJ

Summary:

· As a Data Warehouse Architect, you are a liaison between information technology and business units and are responsible for the design and implementation of data warehouse solutions for all the analytical needs of our internal and external customers.

· You start by gathering requirements to develop a solution blueprint for the architecture and during the implementation phase, you make sure that the solution complies with the requirements and architecture.

Primary Responsibilities:

· Responsible to Design, develop, and maintain the enterprise data warehouse architecture and related data marts in accordance with system requirements.

· Participate in the full lifecycle of the data warehouse development from gathering and understanding end-user analytics and reporting needs, architecting the solution, detailing the technical design, implementing the solution, and validating the solution with end users.

· Work with IT and other business partners to build data warehouse components: data integration (ETL), reporting and analysis (BI), databases, and metadata

· Responsible to Build and maintain the conceptual and logical data models for analytics and reporting

· Determine data loading and data refreshing strategies

· Candidate should take a leading role in evaluating new data warehouse applications, architecture, and technology choices.

Qualifications

Required:

· She/he should have 3+ years of experience in BI / Analytics / Data Warehouse project implementations.

· A/B.S. in Statistics, Engineering, Computer Science, or a related discipline (or equivalent experience)

· Candidate should have Strong understanding of data warehousing, ETL, Business Intelligence, Analytics, Big Data principles, and data visualization

· She/he should have Strong knowledge of data warehousing paradigms (relational databases, dimensional databases, star schema, etc.)

· Candidate must have Strong knowledge of reporting and BI tools (ex. SSRS, Microsoft Power BI, Tableau.

· Should have Seven+ years of experience working in the area(s) of business intelligence/analytics/ statistics /data science

· Knowledge of artificial intelligence and/or machine learning is preferred

· Advanced Microsoft Excel skills (Power Pivot, Power Query)

· Strong oral and written presentation skills

· Experience communicating complex technical concepts to non-technical stakeholder

Additional Information

All your information will be kept confidential according to EEO guidelines.