Are you an spark-based analytics engineer? Have a history, recently, of enteprise solutions in the cloud (HDInsight, Azure, etc)? Then this gig might be of interest to you.
In short, the end client has an ongoing project in flight to move their enterprise analytics off Hadoop and onto Azure. Currently the team needs some help around the analytics aspect (spark ecosystem at minimum better yet databricks) and the transformation logic required.
So, if this sounds like you, APPLY TODAY!!!.
(in order of desirability)
#1 - Hadoop,Spark; Some Data Bricks (5+ years); Data warehousing ETL (10+ years);
#2 - Data Bricks (5+ years); Data warehousing ETL (10+ years); Hadoop/Python
SKILLS - CORE:
Framework -- Spark
Big Data -- Technologies/Tools (i.e. Spark, Kafka, Hadoop, Storm, etc.)
Candidates must be able to conduct a video (skype, etc.) with Amplified prior to submission. Is candidate open to this? If so, put SkypeID (or alternative) in comments.
SKILLS - MAJORITY REQUIRED:
Scripting Language -- Python
Framework -- Spark -- Spark SQL
Framework -- Spark -- MLlib (Machine Learning)
Framework -- Spark -- Python API (PySpark)
Framework -- Spark -- Spark SQL -- Dataframes
Framework -- Spark -- Streaming
Hadoop -- Hive (DBMS and associate HSQLL)
Hadoop -- File Formats (Parquet)
Provide either (1) an online profile (LinkedIn URL, etc) or (2) a reference that you reported to. If providing reference, share name, company, phone, and email where email is from the domain of the company. If neither, put NA in comments.
If not listed in resume, notate here ALL education details for candidate (institution, degree, year of graduation)
SKILLS - ALSO CONSIDERED:
Azure -- Databricks
Azure Data Factory (ADF; ETL, Orchestration, etc.)
Azure Datalake Storage (ADLS)
1st Language English or equivalent (i.e. 8 years in US, AUS, Singapore, Europe, etc.)
Is the candidate willing, if requested, to authorize background checks and/or education checks as part of selection process?
Is the candidate willing, if requested, to take drug screen as part of selection process?
Screens with candidate (phone and/or video) may be recorded to enable the overall selection process. Are you comfortable with that?
Employment Type: Contract
Role: Spark Analytic Engineer
Location: Milwaukee, WI.
Compensation: Up to $110.00/hr in a c2c/1099 structure. Limited W2 structure also possible but rate drops to $95.00/hr gross. We say gross as the limited w2 rate shown is before employer/employee taxes (not take home; take home would be lower as its after employee taxes which vary).
Payment Terms: Monthly invoice, NET 30 payment off invoice.
Expenses: Included in rate above
Current pool: 0/0 (In Play/Submitted). Click HERE for summary view of candidates submitted so far.
|Last Update ||03/27/20 13:46 PM. Tim Bauer. Closing this based on lack of feedback from hiring manager.. (full detail change log at bottom).|
|Shortlist On ||03/27/20|
|Start On ||04/13/20|
|Duration ||Duration is estimated to be 2 to 3+ months.|
|1st Post Date ||02/20/20|
|1st Screened by Amplified||0|
|Submitted to Client||0|
|Interviewed by Client||0|
|Client||Shared after 1st Screen|
|Agent||Shared after 1st Screen. Amplified is not the prime.|
|Contact for Lead
|Interview Details||Face-to-face interview is NOT required after phone screen. That said, let LEVERAGEncy know on submission if Skype or other options AREN'T an option.|
||Client is only considering candidates with work authorizations of: Any Type
|Industry||Manufacturing - Other|
||The overall rating for this lead is B. This is based on contract duration being 3, 2 opening(s), and 4 to 6 competitors at our level or better. You can see a graphical ruberic of how these stats translate to a rating .
|Layers||Between Amplified and the End Client there are 1 layers. In addition, the end client prefers that Amplified limits the layers between Amplified and the Employer of Record of the candidate to .|
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