Data Engineer 4
1 week ago
Key Responsibilities:
Design and develop scalable data engineering solutions using AWS cloud operations and serverless application development
Collaborate with cross-functional teams to ensure seamless integration of data systems
Develop and maintain high-quality Python code with strong unit testing and integration testing skills
Work with relational and NoSQL databases, including DynamoDB, to design and implement efficient data models
Requirements:
4-year degree from an accredited college or university or equivalent experience
3 years or more of experience in software development or data engineering, with a focus on AWS cloud operations and serverless application development
3 years or more of experience with Python, with strong skills in unit testing and integration testing
3 years or more of experience with SQL
Ability to decompose abstract designs into testable software deliverables
Preferred Qualifications:
Relational and NoSQL database design experience (DynamoDB a plus)
Proven Cloud solutioning and architecture experience
Strong knowledge of end-to-end data lifecycle across traditional data warehouses, relational databases, operational data stores,
business intelligence reporting, and big data analytics.
Experience creating conceptual and logical data models
Extract, Transformation, Load (ETL) or ELT development skills
Knowledge of data technology products and components for Big Data and Cloud (AWS, Data Lakes, and similar).
XML and JSON file format knowledge
Required Skills:
Amazon Web Services (AWS),Python,SQL
Additional Requirements:
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:
Development/Engineering
Master Job Title:
Data Scientist
Branch Code:
Bloomington
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