Job Description :





2 openings Need to have Python experience for both the openings.

#1 Opening Python with Azure experience

#2 Opening Python with GCP experience

IV Process:

Two step interview process mostly technical interview

Must have's :

Data Engineering Principles


Cloud experience (Azure OR GCP)

Data Engineer Specifics:

Project Details:

  • Working to upgrade and fix data architecture with best practices
  • Will be about 10-15% hands-on data engineering (Building out POCs and helping with implementation) but primarily will be focused on building out architecture design and plans and then directing data engineering teams on implementation portion
  • Need to be able to be vocal and push the team on architecture best practices
  • Will work across the cloud environments and teams supported
  • Need to improve data mesh and data fabric and make sure that they are set up for being able to exchange and interchange data through APIs for external connections as well as able to safely store and catalog data internally and have it accessible for digital initiatives
  • Help to avoid data duplication and organize the data
  • Looking more for strong data principles experience versus specific tools/cloud data services more general knowledge/fundamentals

What are the top must-have technologies/required experience for the position?

Both roles:

Python (data side Pandas or similar data framework experience)

They use a mix of data frameworks but need python knowledge

Position #1:

Azure Data Services - Azure Data Factory (ADF), Azure Synapse, Azure DataBricks

Must at least have ADF/DataBricks - Synapse highly preferred and other Data services

Position #2:

Google Cloud experience - Big Query, Google Marketing Cloud, etc.

Must at least have some Google marketing experience for this role as well as other GCP data services

Level of experience target (junior/mid/senior and/or years of experience):

Junior to mid accepted (1-2+ years out of college as minimum must have at least some professional experience)

Total IVs # 2

We will be able to send resumes and set up interviews before this touch point.

Must Have: Python Cloud experience Azure or GCP

Project need - They support the cloud data layer and data operations across the company - Multi-cloud environment or Digital Marketing, Google cloud (Big Query, Google Marketing cloud, etc.)

Customer/Sales 90% Azure (ADF, Databricks, Synapse) o Ecommerce " AWS based primarily Hybrid in Skillman is ideal. To the extent permitted by applicable law, candidates must be fully vaccinated against COVID-19 to be considered for this U.S. based job. In accordance with federal law reasonable accommodations for medical or religious exemptions will be considered.

Required Skills : Data Engineering Principles Cloud experience (Azure or GCP) Python
Basic Qualification :
Additional Skills :
Background Check :Yes
Drug Screen :Yes
Notes :The manager is looking for candidates who have strong experience with Data Engineering Principles. Below are some of the questions that will help you ll gauge their experience. As a starting point if we ask candidates about how they do the following that d be a good start on data principle basics - How do you do ETL (transformation) & data modeling and enrich data - How do you monitor data/data loss - How do you measure data characteristics & data quality Article around some of these further: Questions we can ask outside of that: - What would you say are the essential duties of a data engineer? - Do you have experience in a cloud computing environment and what are pros/cons of working in one? o We are looking for yes (azure or GCP) but get them to talk about more - What s your experience with data modeling? What data modeling tools have you used in your work experience? - Which ETL tools have you worked with? Do you have a favorite one? If so, why? We strictly need the answers to the questions
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 :Assessment/Analysis
Master Job Title :Big Data: Dev
Branch Code :New Jersey

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