Cloud Data Engineer: O&M and Technical Support Specialist

6 days ago


Seattle, Washington, United States Federal Reserve System Full time
Job Title: Cloud Data Engineer

We are seeking a highly skilled Cloud Data Engineer to join our Data and Analytics Service (DAS) Team at the Federal Reserve Bank of San Francisco. As a Cloud Data Engineer, you will play a critical role in designing, building, and supporting our cloud data analytics platforms.

Key Responsibilities:
  • Develop integrated solutions in alignment with design patterns, blueprints, guidelines, and standard methodologies for products, including building integrations between cloud native and 3rd party vendor products.
  • Develop and deploy Infrastructure-as-Code solutions related to data platform scalability, isolation, latency, throughput, and efficiency.
  • Identify and respond effectively to service failures and incidents to preserve the service's conformance to its Service-Level Agreement and regularly update the runbook to reduce the time necessary to mitigate an incident.
  • Work with developers to establish Service-Level Objectives and key Service-Level Indicators.
  • Establish/follow postmortem procedures and lead postmortem exercises.
  • Conduct Production Readiness Reviews to ensure services meet accepted standards of operational readiness before going live.
  • Rehydrate infrastructure on schedule.
  • Perform Incident response, on-call activities, standing up ad-hoc environments, and manage system activities to an error budget.
  • Automate various workflows and pipelines on data and analytics platforms to empower developers with self-service capability using Terraform, Python, and OS shell scripts.
  • Develop validation and certification process through automation tools.
  • Develop multi-layered build, installation, configuration, patching, regression testing, and rollback scripts in each environment.
  • Create scripts to compare different versions of the configuration settings.
  • Provide technical onboarding support for customers on the enterprise data and analytics platform in a timely manner and within SLAs.
  • Ensure queries, questions, impediments from customers related to technical onboarding are remediated within a reasonable time and all issues are resolved.
  • Help identify customer pain points and translate them into documentation like user guides, FAQs, how-to's, runbooks, etc.
  • Provide consulting and guidance on business solution development in the data and analytics space and cloud technologies.
Qualifications:
  • Bachelor's degree in computer science, Management Information Systems, Computer Engineering, or related field or equivalent work experience; advance degree preferred.
  • Experience in designing and building large-scale data solutions in an enterprise setting in both On-Prem/AWS.
  • 5+ years of experience in implementing, managing, and scaling distributed systems in a public, private, or hybrid cloud environment.
  • 3+ years of experience with full-stack development, including application, API, testing, and automation experience using at least one of the following languages (Terraform, JSON, Python).
  • 3+ years of experience designing, building, and supporting data analytics solutions hosted either on-prem or in the cloud, and experience with migrating data to the cloud.
  • Ability to generate Infrastructure-as-Code in an enterprise environment using a mature Continuous Integration/Continuous Delivery pipeline.
  • Hands-on experience in Terraform, Python, and OS shell scripts, including automation tools.
  • Hands-on experience in one or more languages such as Java, JavaScript.
  • Experience with AWS data-related services, including various compute and storage offerings.
  • Hands-on experience in providing customer support and fulfilling customer service requests for onboarding on an enterprise data platform.
  • Must be a U.S Citizen or a Green Card holder with intent to become a U.S Citizen.
  • Demonstrates mutual respect, embraces diversity, and acts with authenticity.
  • Demonstrates analytical and problem-solving skills.
  • Experience with leveraging CI/CD pipelines and GitLab is a must.
  • Must be familiar with Agile methodologies and able to work in an Agile manner.
Desired Skills:
  • Advanced proficiency in cloud-specific solutions related to gateways, streaming services, or file and database migration services.
  • Experience in developing product roadmaps in alignment with other data products and business roadmaps.
  • Experience with RDS, NOSQL Databases, RDBMS, and in-memory databases.
  • Strong background in data structures, networking, performance, and scalability.
  • Microservices experience is strongly preferred.

Job Type: Full-time

Job Category: Analytical

Work Shift: First (United States of America)



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