Role: Senior Data Engineer (Ref: 5666)
Duration: 18-months
Location: Remote within the Continental USA
Candidates will be required to provide the following to submit to the client:- PDF copy of diploma.
- PDF copies of certifications.
- Three client references for project work performed within the past 5-years.
Mandatory qualifications and experience include:- A minimum of four (4) years of relevant experience in authoring and monitoring data pipelines. Eight (8) years, if substituting bachelor's or advanced degree for qualifying experience.
- The possession of a bachelor's or advanced degree (master's or PhD) in computer science, engineering, information systems, math or technology-related field. Additional qualifying experience may be substituted for the required education on a year-for-year basis. Successful completion of a data engineering bootcamp plus an additional year of experience may be substituted for the degree requirement.
Additional Mandatory Qualifications are:- A minimum of five (5) years of extensive full-time equivalent experience as a Senior Data Engineer in a lead role, responsible for modeling, architecting, developing, testing, deploying and supporting scalable, fault-tolerant data architectures to support enterprise decision making within Dimensional and other analytic data models (Data Warehouse, Data Mart).
- A minimum of four (4) years of extensive full-time equivalent experience as a data pipeline engineer responsible for architecting, designing, developing/authoring, testing, deploying, monitoring and supporting scalable and fault-tolerant ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) solutions that move data - in near real-time and/or on a schedule - between on-premises and cloud infrastructure solution components using Microsoft SQL Server SSIS and Microsoft Azure Data Factory.
- A minimum of five (5) years of extensive full-time equivalent experience architecting, designing, developing, testing, deploying and supporting data solutions within the Azure SQL, SQL MI, Azure Synapse, and/or Microsoft Fabric cloud platforms.
- A minimum of five (5) years of extensive full-time equivalent experience developing solutions that include SQL scripting.
- A minimum of three (3) years of extensive full-time equivalent experience developing analytic dashboards and reports within Microsoft PowerBI.
- A minimum of three (3) years of experience developing solutions that include Python components.
- A minimum of three (3) years of experience architecting, designing, developing, deploying, testing and supporting development of financial data analysis solution(s).
- A minimum of three (3) years of experience architecting, designing, developing, deploying, testing and supporting development of Healthcare Provider Network Adequacy analysis solution(s).
- A minimum of three (3) years of experience architecting, designing, developing, deploying, testing and supporting API driven bulk data integrations with Azure API Manager.
- A minimum of two current Microsoft Certification(s) such as:
- Microsoft Azure Data Engineer.
- Microsoft Fabric Analytics Engineer.
- Microsoft Fabric Data Engineer.
- Microsoft PowerBI Data Analyst.
- Microsoft Fabric Analytics Engineer.
- A minimum of one current Data Modeling Certification(s) such as:
- Certified Data Management Professional (CDMP) Data Modeling Specialist (DMBOK).
- Data Modeling Institute (DMI) Data Modeling Certification (DMC).
- Transforming Data With Intelligence (TDWI) Certified Business Intelligence Professional (CBIP).
- Microsoft Data Modeling in PowerBI.
