Overview

Amick Brown is seeking an experienced Sr. Data Engineer to design and develop Enterprise Data Warehouse and analytical solutions for our client in the medical device industry.

Duration: 6 months
Location: Sunnyvale, CA

Job Responsibilities:
Design and build data models to conform to our existing EDW architecture.
Design and build data pipelines using tools – SAP SLT, SAP Data Services, Python and Microsoft SSIS.
Design and development of data warehouse using T-SQL, SQL, and python
Work with teams to deliver effective, high-value reporting solutions by leveraging an established delivery methodology.
Implement data structures using best practices in data modeling, processes, and technologies.
Design and development of data warehouse using Microsoft SQL Server, SAP HANA and Snowflake databases.
Writing analytics programs (transformations/calculations) in T-SQL, R, Python or comparable
Knowledge and understanding of Enterprise applications like SAP ECC and SAP CRM, Salesforce etc.
Knowledge and functional understanding of Finance, Global Supply Chain business processes
Perform data mining and analysis to uncover trends and correlations to develop insights that can materially improve our decisions.
Development with one or more data visualization/reporting tools (Tableau, Business Objects, Hana Analytics, Microsoft PowerBI)
Work with various product owners to ensure applications are instrumented with proper tracking mechanisms to enable analytics.
Continually recommend, develop, and implement process improvements and tools to collect and analyze data, and visualize/present insights.
Required qualifications:
Bachelor’s degree in Business, MIS or related area. Master’s degree a plus.
8+ years Business Intelligence / Data Warehouse development experience
3+ years of experience in ETL development tools, preferably with knowledge of Microsoft Integration Services 2005 or greater (SSIS), SAP Data Services, SAP SLT and Python.
5+ years of experience in design and development using Microsoft SQL Server, SAP HANA and Snowflake databases.
Strong experience in full life cycle development, implementation, management and performance tuning of the Enterprise Data Warehouse
Experience in database development (T-SQL, PLSQL, and/or SQL scripts)
Experience in building data pipelines using python, C# and JSON
Experience in Microsoft BI development in Integration Services (SSIS), Analysis Services (SSAS) or Reporting Services (SSRS)
Experience building and managing data flows to and from cloud applications
Demonstrated experience in utilizing R, Python, SPSS or comparable to develop analyses
Experience visualizing data in business intelligence tools such as Tableau, Business Objects or Hana Analytics
Experience and functional understanding with Enterprise applications like SAP ECC and SAP CRM, Salesforce etc.
Strong experience with performance and scalability design and testing
Experience creating test plans, testing and resolving data discrepancies
Must be a self-motivated, energetic, detail-oriented team player passionate about producing high quality BI & Analytics deliverables
Strong sense of customer service for internal customers
Medical robotics has unique characteristics that will require immersion in clinical and technical training and he or she must come up to speed quickly– an interest and desire to learn are critical
Amick Brown, LLC is an Information Technology consulting company providing IT staffing and managed solutions. Founded in 2010, we are a certified woman-owned small business headquartered in San Ramon, CA with an additional office in Sacramento, CA. Amick Brown’s experienced IT professionals support customers nationwide in both the commercial and public sectors. We are SBA 8(a) and IS0 9001:2015 certified and are an SAP Services Silver Partner.

Regular full-time employees are eligible for the following Amick Brown provided benefits:
Health
Vision
Dental
401k with company match
Paid time off
Sick Leave
Short-Term Disability
Life Insurance

To apply for this job email your details to vagasempregosbrasil@outlook.com

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