Stefanini, Inc

Cloud Data Engineer

Job description

Stefanini is looking for Cloud Data Engineer in San Francisco, CA
Responsibilities:
  • Demonstrated technical expertise across a variety of technology platforms and solutions
  • Ability to work effectively independently or in a team environment
  • Strong analytical, collaboration, leadership, critical thinking, multitasking, and time management skills
  • Ability to influence successfully in a highly matrix or virtual organization
  • Demonstrates independent thinking and decision-making abilities
  • Ability to quickly receive and process information
  • Judgment to advance risk based decisions appropriately
  • Proven ability to write clear and concise communications: technical documents, design documents, specifications
  • 3 or more years of relevant technical experience, at senior level
  • Bachelor's degree in Computer Science, Information Systems, or other related technical field or equivalent work



Qualifications:
  • Experienced in implementing Data and Advanced Analytics solutions, and SaaS or related experience in the Cloud
  • Experience in developing an end to end AWS native platform for building Data lakes ( S3, Glue (Crawlers, ETL, Catalog), IAM, CodePipeline, CodeCommit, CloudFormation (or Terraform), CloudTrail, CloudWatch, AWS Config, Guard Duty, Secrets Manager, KMS, EC2, Data Visualization Tool: Tableau run on an EC2 or AWS Quicksight), Athena
  • Hands on programming skills in JAVA or Python or Scala or other scripting language.
  • Working knowledge of Amazon Web Services
  • Experience deploying code on Cloud based Infrastructure, with AWS (Amazon Web Services) strongly preferred.
  • Experience in Continuous Integration, Continuous Delivery, and Continuous Deployment software tools to support, enhance and grow our CI and CD capabilities
  • Working experience in Ansible/Terraform/Cloud Formation scripts and Infrastructure as Code scripting is required
  • Understanding of security design for enterprise software systems Preferred Skills
  • Knowledge of high-availability, load-balancing and failover configurations across application, infrastructure, and platform
  • Experience with and/or working knowledge the Financial Industry, Government Agencies, Federal Reserve Bank Lines of Business (LoBs) Applications
  • Working experience with Kubernetes, ConnectDirect, etc.
  • Practical experience and knowledge of Service Oriented Architecture (SOA), Mircoservices and API Management
  • Background in data security, governance and cybersecurity solutions.

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