Cloud Data Engineer

Cloud Data EngineerThis position is 100% remote. For onboarding must be 100% onsite for the first 2 weeks.About the Job

• Duration: Long term renewable contract
• Location: Greer, SC
• Pay rate: Hourly, depending on experience
• Job ID: 4208

• Implements and enhances complex data processing pipelines with a focus on collecting, parsing, cleaning, managing and analyzing large data sets that produce valuable business insights and discoveries.
• Determines the required infrastructure, services, and software required to build advanced data ingestion & transformation pipelines and solutions in the cloud.
• Assists data scientists and data analysts with data preparation, exploration and analysis activities.
• Applies problem solving experience and knowledge of advanced algorithms to build high-performance, parallel, and distributed solutions.
• Performs code and solution review activities and recommends enhancements that improve efficiency, performance, stability, and decreased support costs.
• Applies the latest DevOps and Agile methodologies to improve delivery time.
• Works with SCRUM teams in daily stand-up, providing progress updates on
• a frequent basis.
• Supports application, including incident and problem management.
• Performs debugging and triage of incident or problem and deployment of
• fix to restore services.
• Documents requirements and configurations and clarifies ambiguous specs.
• Performs other duties as assigned by management.

• BA/BS Degree in Business, Computer Science or Electrical Engineering preferred
• MS degree (preferred).

• enterprise software engineering experience with object oriented design, coding and testing patterns, as well as, experience in engineering (commercial or open source) software platforms and large-scale data infrastructure solutions.
• software engineering and architecture experience within a cloud environment (Azure, AWS).
• enterprise data engineering experience within any "Big Data " environment (preferred).
• software development experience using Python.
• working in large-scale data integration and analytics projects, including using cloud (e.g. AWS Redshift, S3, EC2, Glue, Kinesis, EMR) and data-orchestration (e.g. Oozie, Apache Airflow) technologies
• in implementing distributed data processing pipelines using Apache Spark
• in designing relational/NoSQL databases and data warehouse solutions

• in an Agile environment (Scrum, Lean or Kanban).
• in writing and optimizing SQL queries in a business environment with large-scale, complex datasets
• of Unix/Linux operating system knowledge (including shell programming).
• 1+ years of experience in automation/configuration management tools such as Terraform, Puppet or Chef.
• 1+ years of experience in container development and management using Docker.
• Languages: SQL, Python, Spark
• AWS/Azure cloud provider training/certifications (preferred)
• Cloud Security
• JIRA/Confluence/BitBucket
• Splunk
• TSL/SS Certificates
• Nice to Have: Docker/Docker Swarm, Jenkins, Terraform, Python programming

• Paid Holidays/Paid Time Off (PTO)
• Medical/Dental Insurance
• Vision Insurance
• Short Term/Long Term Disability
• Life Insurance
• 401 (K)