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No of position :- ( 1 )
Post :- 14th Nov 2020
Role: Data Architect
Type: Contract- 1 year plus
Location: remote but MUST live in the Chicago area
Phone & Skype
Interview Process:
* These may be scheduled back-to-back making it a 1 step process, but they may also be scheduled separately. It depends on availability
* Video interview - internal coding exercise & technical review
* Video interview - soft skills/core values
Skills/ Must-Haves :
* Extensive data engineering experience with Spark (2.4) preferably with Python
* Experience putting end-to-end data pipelines together on AWS
* Experience with DataBricks is a must
* Experience supporting ML teams and some knowledge of SparkML is a plus
Job Description:
If you want to help build thriving businesses and guide our clients from now to NEXT, keep reading to see how your ability to solve complex problems can make digital transformation a reality for clients.
Primary Responsibilities:
This is a Data Architect within our North American team. The Data Architect will collaborate within a team of technologists to produce enterprise scale solutions for our clients’ needs. They develop and configure data pipelines, as well as factor in synergies with data pipelines built as part of other tracks.
Requirements:
* BS in Computer Science or equivalent education/professional experience is required
* 7+ years in a data engineering/architect role with demonstrable experience in data integration and data warehouse projects
* Extensive data engineering experience with Spark (2.4) preferably with Python
* Experience putting end-to-end data pipelines together on AWS
* Experience with DataBricks is a must
* Experience supporting ML teams and some knowledge of SparkML is a plus
* Experience developing and configuring data pipelines, testing and enable activation based on prioritized business use cases
* Experience defining data sets and strategies
* Strong experience working on Informatica ETL
* Data modeling expertise
Nice to have:
* Experience in working with source systems
* Experience with reporting tools like Tableau and Business Objects
Skills/ Must-Haves :
* Extensive data engineering experience with Spark (2.4) preferably with Python
* Experience putting end-to-end data pipelines together on AWS
* Experience with DataBricks is a must
* Experience supporting ML teams and some knowledge of SparkML is a plus
Thanks and Regards,
Nishant Verma
STRATEGISM INC.
Team Lead - IT Recruitments
Desk: 510-722-8115
Email : nishant@strategisminc.com
39355 California St, Suite 300, Fremont CA 94538
Forbes Tech Council- Official Member.
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San francisco Biz journals 2020: Top 100 private company.
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