Senior Data Engineer (DevOps Automation) - Alameda, CA (Hybrid)

Senior Data Engineer (DevOps Automation)
Location: Alameda, CA (Hybrid)
Duration: Contract
Rate: DOE
US Citizens, GC, EAD ( H4, L2), E3 TN visa holders preferred, NO third party corp to corp accepted for this job


Key Responsibilities:

• Design, implement, and maintain robust, scalable, and automated data engineering solutions.
• Develop and manage data pipelines using AWS services like Glue, S3, and Redshift.
• Utilize Terraform for infrastructure as code (IaC) to ensure consistent and reliable environment provisioning.
• Maintain and enhance CI/CD pipelines for data engineering applications, ensuring seamless integration and deployment.
• Collaborate with data engineers to understand data needs and implement solutions that meet these requirements.
• Develop scripts and tools in Python to automate various data engineering tasks.
• Manage source control using GitHub, including branching, merging, and version control.
• Ensure data security and compliance with industry standards and company policies.
• Monitor, troubleshoot, and optimize data systems for performance and efficiency.
• Stay updated with the latest trends and technologies in DevOps and data engineering.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• At least 9+ years of experience in a DevOps role with a focus on data engineering infrastructure.
• Strong experience with AWS services, especially Glue, S3, and Redshift.
• Proficient in Terraform for infrastructure automation.
• Extensive experience in Python programming, specifically for data engineering tasks.
• Solid understanding of data pipeline and workflow management tools.
• Expertise in source control management using GitHub.
• Excellent problem-solving skills and ability to work under tight deadlines.
• Strong communication and teamwork skills.