Data and Analytics - Data Engineer 4 Data Engineer 4

Job Title: Data Engineer 4

Reference ID: # 24-04474

Location: Beaverton, OR

Duration: 8 months

Job Type: Contract (Candidates must be able to work on W2 without VISA sponsorship)

Our client, a leading sporting goods & apparel manufacturing company, is looking for Data Engineer 4.

Must Haves

• This role requires good working knowledge of AWS services.
• Should have hands-on experience with at least one programming language, preferably Python.
• Extensive experience with data engineering concepts and handling data.
• Extensive experience with SQL.
• Expert-level data engineer with Data Bricks experience.

Skills and Qualifications

• Bachelor’s degree requested for this role.
• Minimum 8 years’ experience in data engineering.
• Top skills include: Python, SQL, data engineering.
• Main focus of the role will be building data pipelines, data modeling, and data.
• Tech stack that candidates will be working with: Data Bricks, Python, AirFlow, AWS, EMR, SQL.
• Experience using cloud services to build an integrated application in production (AWS - EC2, ECS, API gateway, Lambda).
• Experience with implementing CI/CD and DevOps responsibilities of deploying and supporting the software in production.

Description

• Establishes database management systems, standards, guidelines, and quality assurance for database deliverables, such as conceptual design, logical database, capacity planning, external data interface specification, data loading plan, data maintenance plan, and security policy. Documents and communicates database design.
• Evaluates and installs database management systems.
• Codes complex programs and derives logical processes on technical platforms.
• Builds windows, screens, and reports. Assists in the design of user interface and business application prototypes. Participates in quality assurance and develops test application code in client-server environment. Provides expertise in devising, negotiating, and defending the tables and fields provided in the database.
• Adapts business requirements, developed by modeling/development staff and systems engineers, and develops the data, database specifications, and table and element attributes for an application.
• At more experienced levels, helps to develop an understanding of client's original data and storage mechanisms. Determines appropriateness of data for storage and optimum storage organization. Determines how tables relate to each other and how fields interact within the tables for a relational model.