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AWS Cloud Data Engineer
2 months ago
AWS Cloud Data Engineer (W2 Contract) - McKinney, TX (Onsite 3 Days/Week)
Position Overview: Join our innovative team as an AWS Cloud Data Engineer and play a key role in driving the future of Cloud Data Management and Advanced Analytics We are looking for a highly skilled technical expert who is passionate about leveraging cloud technologies to help our organization scale, secure, and optimize its data-driven infrastructure. This is a long-term contract role, exclusively open to W2 employees—located in McKinney, TX, with a hybrid schedule of 3 days a week onsite.
Please note: Visa sponsorship is not available for this role.
What You’ll Do:
- Architect and support cutting-edge Cloud Data Management and Advanced Analytics solutions.
- Lead and guide the design, implementation, and monitoring of secure Data Lakes and Enterprise Data Warehouses.
- Partner with Data Services, Analysts, and Scientists to ensure high-performance, secure, and scalable cloud infrastructures.
- Provide technical guidance on AWS best practices to multiple teams and support process improvement initiatives.
Key Responsibilities:
- Design and implement secure cloud-based data solutions.
- Develop and enforce data security protocols for cloud infrastructures.
- Collaborate with leadership to improve cloud processes and spearhead strategic cloud initiatives.
- Offer support and guidance to development teams on AWS Products and Services.
What You Bring:
- Strong coding/scripting experience with Python.
- Experience with converting Mainframe binary files (EBCDIC to ASCII) is a plus.
- Hands-on expertise with a wide range of AWS services such as EC2, S3, Lambda, Glue, CloudWatch, IAM, etc.
- Solid understanding of AWS Data Management tools and Cloud Security, including IAM roles, policies, and encryption methodologies.
- Experience designing and deploying CloudFormation Templates (CFTs).
- Familiarity with AWS networking concepts such as VPC, NAT, ACL, Direct Connect, and VPN.
- Bonus Skills: Exposure to Mainframe technology, experience with ETL and Data Visualization tools, and Linux/Windows administration in AWS environments.
Why Join Us?
- Be a key player in shaping the future of cloud data and analytics platforms.
- Collaborate with forward-thinking teams dedicated to innovation and process improvement.
- Hybrid work model: balance the convenience of remote work with the benefits of in-person collaboration (3 days onsite per week).