Overview
Hybrid
$70 - $80
Contract - W2
Contract - 6 Month(s)
Skills
Continuous Integration
CA Workload Automation AE
Collaboration
Continuous Delivery
GitHub
Amazon Web Services
Lean Methodology
Legacy Systems
PL/SQL
Shell Scripting
Apache Hadoop
Automated Testing
Cloud Computing
Agile
ELT
Jenkins
Snow Flake Schema
Stored Procedures
Workflow
Job Details
Job ID: H#12952 - Lead Snowflake / AWS Data Engineer
Must be Hybrid in Hartford, CT or Charlotte, NC (IN PERSON INTERVIEW REQUIRED)
CANDIDATES MUST LIVE LOCAL TO EITHER LOCATION
- Lead the design and development of scalable data products and ELT pipelines across AWS and Snowflake environments.
- Build and optimize data pipelines using Snowflake s cloud platform, including hands-on use of SnowSQL, Snowpipe, and related Snowflake utilities.
- Leverage strong experience with legacy technologies such as Oracle, PL/SQL, Autosys, Hadoop, stored procedures, and shell scripting to support modernization efforts.
- Apply DataOps tools GitHub, Jenkins, uDeploy to automate builds, deployments, and operational workflows.
- Collaborate with architects and stakeholders to define data models and deliver high-performing data solutions.
- Promote best practices in CI/CD, automated testing, code quality, and FinOps within a fast-paced Lean-Agile environment.
- Communicate technical concepts effectively to both technical and business audiences.
- P&C Commercial Lines experience is a requirement.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.