Sr. Data Engineer (AWS)

Sr Data Engineer (AWS)

Location -

Downtown Chicago - 3 days onsite

Duration:

7+ month contract w/extension

Interview Process

- 1 hour technical interview

Team/Overview

- 6 people including management;

- Marketing team under card, main platform owners

o Work w/Java, Tableau teams as well

- Support integrations between different systems (Marketing tool is Salesforce Marketing cloud)

- Get data from upstream systems and push data into Salesforce Marketing Cloud

- Support different LOBs besides card

Preferred Qualifications and Tech Stack

- Python

- pySpark

- Cloud Services (AWS preferred)

- Git

- CI/CD Pipelines (Jenkins)

- Using Apache Airflow for orchestration

- Unit testing using pytest

- AWS EMR now, moving to AWS Glue

- Agile Methodologies

- Deploying ETLs

Required Skills : Preferred - Python - pySpark - AWS Cloud Services - Git - CI/CD Pipelines (Jenkins) - Apache Airflow - pytest - AWS EMR/AWS Glue - Agile Methodologies 1 interview to hireBackground Check :YesDrug Screen :YesNotes :Selling points for candidate :1 interview to hireProject Verification Info :"The information provided below is for Apex Systems AV use only and is not to be distributed publicly, or to any third party. Any distribution of the below information will result in corrective action from Apex Systems Vendor Management. MSA: Blanket Approval Received Client Letter: Will Provide"Candidate must be your W2 Employee :YesExclusive to Apex :NoFace to face interview required :NoCandidate must be local :NoCandidate must be authorized to work without sponsorship ::NoInterview times set : :NoType of project :0005066 | Capital One IT PlacementsMaster Job Title :Branch Code :