Data Engineer
4 weeks ago
Our client, a leading sporting goods & apparel manufacturing company, is seeking a skilled Data Engineer 4 to join their team. The ideal candidate will have extensive experience with data engineering concepts, handling data, and working with AWS services.
- Must have 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.
Key qualifications include:
- 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.
Responsibilities:
- Establishes database management systems, standards, guidelines, and quality assurance for database deliverables.
- 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.
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