Overview
On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - 1 Month(s)
Skills
API
Agile
Amazon S3
Amazon Web Services
Analytical Skill
Cloud Computing
Job Details
We are looking for Data Engineer for our client in Chicago, IL
Job Title: Data Engineer
Job Type: Contract
Job Description:
Pay Range: $44hr - $47hr
- "Bachelor's degree in Computer Science, Data Engineering, or a related field.
- 5+ years of experience in data engineering, with a strong emphasis on building cloud-based data solutions.
- Proven experience with Python API development.
- Hands-on experience with AWS services.
- Demonstrated experience with Develpoing and deploing Python modules in AWS enviornment.
- Hands-on experience with Docker and Kubernetes
- Proficiency in SQL for data manipulation and analysis.
- Experience with version control systems (e.g., Git) and agile methodologies.
- Excellent problem-solving and communication skills.
- Data Pipeline Development: Design, develop, and maintain efficient and scalable API using Python for AWS environment.
- Cloud Data Integration: Deploying Python modules in AWS environment.
- Data Processing: Build and optimize distributed data processing jobs Python API
- Data Architecture: Contribute to the design and evolution of our modern data architecture, including data lakes (e.g., using AWS S3 with Delta Lake) and data warehouses.
- Collaboration: Work closely with data scientists, business analysts, and other engineers to understand data requirements and deliver high-quality data products.
- Performance Tuning: Monitor and optimize the performance of Python API jobs and data pipelines to improve efficiency and reduce costs.
- Automation and DevOps: Support CI/CD pipelines and infrastructure-as-code practices for deploying data platform solutions.
- Data Governance: Ensure data quality, integrity, and security standards are maintained across all data pipelines and platforms.
- Communication : Excellent communication and interpersonal skills to collaborate with cross-functional teams.
- Problem-Solving: Strong analytical and problem-solving skills to troubleshoot and resolve complex issues.
- Cloud Computing: Experience with cloud platforms AWS and containerization technologies like Docker and Kubernetes.
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