Highbrow LLC
Data engineer
Highbrow LLC, Secaucus, New Jersey, us, 07094
This job opportunity is for employment type W2.
Candidates who are willing to apply must hold US work authorization.
Job Title:
Data Engineer
Job ID:
2022-11238
Job Location:
Secaucus, NJ or remote
Job Travel Location(s):
# Positions:
1
Employment Type:
W2
Candidate Constraints:
Duration:
Long Term
# of Layers:
0
Work Eligibility:
All Work Authorizations are Permitted – No Visa Transfers
Key Technology:
SQL Server, SSAS and SSMS
Job Responsibilities:
Analysis, design, coding, performance tuning, and implementation of new BI solutions.
Evaluation, maintenance, and enhancement of existing ETL processes and model/cube structures.
Creation of BI dashboards and workbooks using Power BI, Tableau, and Excel.
Code data ingest solutions (C#, NodeJS) leveraging 3rd party APIs.
Daily triage of bugs and tasks.
Create documentation for applications and processes.
Enforce best practices in all aspects of work and evaluate new data warehousing platforms and solutions.
Skills and Experience Required:
5+ years’ experience in a data warehouse team environment.
Advanced level of experience with Microsoft SQL Server, SSAS and SSMS (Management Studio).
Hands-on experience with SSIS or other similar ETL tools.
Demonstrated strength with T-SQL for database queries, procedures, tables, views, etc.
Proven skills with data visualization tools: Microsoft Excel (PowerPivot, Pivot Tables, Slicers), Power BI and Tableau (dashboard design, configuration and advanced calculations).
Ability to work with .Net development tool Visual Studio 2017 to write code, make changes, and deploy updates.
Experience with cloud platforms such as Azure, AWS, or GCP and their storage devices and connectivity tools such as AWS development tools: NodeJS and Lambda Functions.
Experience with SSAS and/or Tabular data warehouse design experience including: an understanding of MDX/DAX, calculated measures, hierarchies, slowly changing dimensions, and date/time dimension analysis.
A basic understanding of HTML, CSS, and web page deployment.
Excellent written and verbal skills and the ability to present to upper management.
Education:
Bachelor’s Degree in Computer Science or related field preferred.
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Candidates who are willing to apply must hold US work authorization.
Job Title:
Data Engineer
Job ID:
2022-11238
Job Location:
Secaucus, NJ or remote
Job Travel Location(s):
# Positions:
1
Employment Type:
W2
Candidate Constraints:
Duration:
Long Term
# of Layers:
0
Work Eligibility:
All Work Authorizations are Permitted – No Visa Transfers
Key Technology:
SQL Server, SSAS and SSMS
Job Responsibilities:
Analysis, design, coding, performance tuning, and implementation of new BI solutions.
Evaluation, maintenance, and enhancement of existing ETL processes and model/cube structures.
Creation of BI dashboards and workbooks using Power BI, Tableau, and Excel.
Code data ingest solutions (C#, NodeJS) leveraging 3rd party APIs.
Daily triage of bugs and tasks.
Create documentation for applications and processes.
Enforce best practices in all aspects of work and evaluate new data warehousing platforms and solutions.
Skills and Experience Required:
5+ years’ experience in a data warehouse team environment.
Advanced level of experience with Microsoft SQL Server, SSAS and SSMS (Management Studio).
Hands-on experience with SSIS or other similar ETL tools.
Demonstrated strength with T-SQL for database queries, procedures, tables, views, etc.
Proven skills with data visualization tools: Microsoft Excel (PowerPivot, Pivot Tables, Slicers), Power BI and Tableau (dashboard design, configuration and advanced calculations).
Ability to work with .Net development tool Visual Studio 2017 to write code, make changes, and deploy updates.
Experience with cloud platforms such as Azure, AWS, or GCP and their storage devices and connectivity tools such as AWS development tools: NodeJS and Lambda Functions.
Experience with SSAS and/or Tabular data warehouse design experience including: an understanding of MDX/DAX, calculated measures, hierarchies, slowly changing dimensions, and date/time dimension analysis.
A basic understanding of HTML, CSS, and web page deployment.
Excellent written and verbal skills and the ability to present to upper management.
Education:
Bachelor’s Degree in Computer Science or related field preferred.
#J-18808-Ljbffr