Data Engineer
[san Bruno, Ca, 94066], California
Employer: Saxon Global
Industry:
Salary: Competitive
Job type: Part-Time
Position Details:
Client: Walmart
Role: Big Data Engineer
# of roles: 2 x3, 2 x4 level data engineers
Duration: 6 month CTH
Target Start Date: 8/7/22
Interview Process: One and done back to back: 2 hour interview
Project Details - Size, Scale, Scope?
Day to Day Responsibilities/typical day look like:
Selling Points for Candidates:
Technical Stack:
Apache (Spark, Hive, Airflow) Need exposure to Spark and other apache stack Google Cloud (BigQuery in particular) Any cloud experience can suffice instead if needed Scala Work with Python, JAVA, or other would be okay instead Atlassian (JIRA, Jenkins, Github) Basic exposure here or similar tooling okay
Team Size & Structure: Team of 8-10 people
Education or Certification Requirements:
Level of experience target (junior/mid/senior and/or years of experience):
Required Skills : Spark
Basic Qualification :
Additional Skills :
Background Check :Yes
Drug Screen :Yes
Notes :
Selling points for candidate :
Project Verification Info :
Candidate must be your W2 Employee :No
Exclusive to Apex :No
Face to face interview required :No
Candidate must be local :No
Candidate must be authorized to work without sponsorship ::No
Interview times set : :No
Type of project :Other Project Type
Master Job Title :Data Scientist
Branch Code :Silicon Valley
Client: Walmart
Role: Big Data Engineer
# of roles: 2 x3, 2 x4 level data engineers
Duration: 6 month CTH
Target Start Date: 8/7/22
Interview Process: One and done back to back: 2 hour interview
Project Details - Size, Scale, Scope?
- Working within the Ad-Tech Division - they support the data processing and transformation before it goes to reporting division
- Coordinated team/data foundations team (store the data for ad-tech and "source of truth" for their data metrics)
- They work to audit and do multiple code reviews on items before implementation so that is a big portion of their role on this team
- Work with big data and large distributed systems - want someone with that exposure
Day to Day Responsibilities/typical day look like:
- Senior:
- 40% data analysis/Data quality
- 50% designing and coding
- 20% meetings with other teams on data/data sources
- Staff:
- Flexible on tasking a bit based on what they have most exposure but will be more cross-functional work and mix of leadership and local tasks
- 25% meetings & 25% planning/meeting review (50% meeting related work)
- 25% mentorship
- 10-15% coding
- 10% or more other
Selling Points for Candidates:
Technical Stack:
Team Size & Structure: Team of 8-10 people
Education or Certification Requirements:
- N/A
Level of experience target (junior/mid/senior and/or years of experience):
- More concerned with level versus years. Talked about 2-3+ and that sounded like a good benchmark.
- Ad-Tech exposure is a plus
- Start-up background is a plus
Required Skills : Spark
Basic Qualification :
Additional Skills :
Background Check :Yes
Drug Screen :Yes
Notes :
Selling points for candidate :
Project Verification Info :
Candidate must be your W2 Employee :No
Exclusive to Apex :No
Face to face interview required :No
Candidate must be local :No
Candidate must be authorized to work without sponsorship ::No
Interview times set : :No
Type of project :Other Project Type
Master Job Title :Data Scientist
Branch Code :Silicon Valley
Created: 2024-04-30
Reference: SG - 71770
Country: United States
State: California
City: [san Bruno, Ca, 94066]
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