ETL Team Lead

Overview

On Site
Full Time

Skills

Insurance
Productivity
Innovation
Life Insurance
Production Support
Team Leadership
SQL
Cloud Computing
Root Cause Analysis
SLA
Transact-SQL
Microsoft SQL Server
Microsoft SSIS
Microsoft
Windows PowerShell
Oracle
PL/SQL
Sap Businessobjects
Business Objects
SAP BODS
PostgreSQL
Scripting
Operational Excellence
Dashboard
Incident Management
Workflow
Business Continuity Planning
Financial Reporting
Collaboration
IT Management
Offshoring
Mentorship
Scrum
Enterprise Architecture
Automated Testing
Change Management
ELT
Optimization
Guidewire
HubSpot
Facets
Extract
Transform
Load
Databricks
Real-time
Telematics
Streaming
Leadership
Microsoft Azure
Warehouse
Database
Regulatory Compliance
Data Modeling
Analytics
Microsoft Power BI
Reporting
Advanced Analytics
Use Cases
Data Governance
Data Quality
Artificial Intelligence
Machine Learning (ML)
Pricing
Fraud
Underwriting
Oracle Linux

Job Details

About Canal Insurance

Canal Insurance Company specializes in insurance for commercial trucking and specialty transportation operations. Canal was founded in 1939 and is located in Greenville, South Carolina. At Canal, we recognize that our success would not be possible without the hard work and dedication of our employees. We know that happiness and productivity go hand in hand, and to that end, we consciously cultivate a culture that enables us to recruit and retain the very best talent in the business.

A Culture With YOU in Mind
  • Located in beautiful downtown Greenville, SC
  • Career growth & advancement opportunities
  • Comprehensive benefits package
  • Employee referral program
  • Casual dress code
  • Innovation-focused & customer-centric
  • 80+ years of industry expertise
  • Committed to giving back to our community
  • Unquestioned integrity and commitment

Benefits at Canal
  • Basic & Voluntary Life Insurance Plans
  • Medical, Dental, & Vision
  • Short Term & Long Term Disability
  • 401(k) plan with company match up to 6%
  • Flexible Spending Accounts
  • Employee Assistance Programs
  • Generous PTO Plan

ETL Team Lead

Major Accountabilities:
  1. Production Support, Operations & Reliability
    • The ETL Team Lead owns end-to-end operational support for Canal's existing data stack:
      • Monitor daily ETL loads across SQL jobs, DHIC (GW DataHub and InfoCenter) and legacy SSIS packages.
      • Work with AMS team where necessary to troubleshoot pipeline failures, performance issues, schema mismatches, permissions issues, and cloud resource failures.
      • Work with AMS team where necessary to perform root-cause analysis and to implement permanent fixes.
      • Ensure SLA adherence and on-time delivery of critical reporting datasets for scheduled ETL jobs .
      • Provide direction for both AMS and ETL Developers for Legacy & Current ETL maintenance.
      • Refactor or retire outdated or redundant ETL processes.
  2. Maintain and improve existing pipelines that utilize the following technologies:
    • Microsoft SQL Server Database programming
    • T-SQL Scripting
    • SQL Server Integration Services
    • Microsoft Powershell
    • Guidewire DataHub and InfoCenter
    • Oracle Database programming
    • Oracle PL-SQL Scripting
    • SAP BODS (SAP BusinessObjects Data Services)
    • PostgreSQL Scripting
  3. Operational Excellence
    • Work with AMS team to assist with the creation and/or enhancement of operational runbooks, SOPs, monitoring dashboards, and incident response workflows.
    • Partner with other IT operational segments, business SMEs, and AMS team to minimize downtime and to ensure that business SLAs are met.
    • Improve upon existing, as well as implement new proactive for daily processing.
  4. Business Continuity
    • Work with AMS team to ensure development support coverage for critical data pipelines (rotation-based).
    • Support month-end and quarter-end financial reporting cycles.
    • Coordinate production releases and validate deployments.
    • The ETL Tech Lead will become the steady-state technical owner of the entire data operations layer during the Canal modernization journey.
  5. Technical Leadership & Collaboration
    • Serve as technical lead guiding onshore/offshore developers.
    • Review code, enforce best practices, and mentor junior engineers.
  6. Partner with Scrum Masters, Project Mangers, Enterprise Architecture, QA Automation, Change Management, and AMS support teams.
  7. Data Ingestion, ETL/ELT Development & Optimization
    • Develop reusable ingestion patterns for Guidewire DataHub and InfoCenter, HubSpot, Telematics, and other facets of the business.
    • Work with Canal Architects to modernize existing ETL workloads using Delta Lake, Medallion Architecture, and Fabric Lakehouse.
    • Build scalable data ingestion pipelines using potential upcoming technology (Azure Data Factory, MS Fabric , Databricks, Synapse Pipelines, etc.).
    • Work to bring in Internal and External integrations data into the platform.
  8. Real-Time, Streaming & Event-Driven Engineering
    • Proven experience designing and implementing real-time data pipelines using Event Hub, Fabric Real-Time Analytics, Databricks Structured Streaming, and KQL-based event processing.
    • Develop and enable real-time operational insights and automation capabilities-including Telematics alerting, FNOL automation, and fraud/VNOS/VNOP detection-through event-driven architectures and streaming analytics.
  9. Modern Azure Data Stack Leadership
    • Lead the strategy, design, and engineering of Canal's modern Azure data ecosystem using next-generation tools and Medallion Architecture, including:
      • Implementing Medallion Architecture (Bronze/Silver/Gold) across Fabric Lakehouse, Warehouse, Eventhouse, and KQL Database.
      • Leveraging Delta tables with schema enforcement, ACID compliance, and versioning.
  10. Data Modeling, Curation & Governance
    • Develop curated, analytics-ready datasets to support Power BI, operational reporting, and advanced analytics use cases.
    • Assist Canal architect with implementation of Data Governance tools.
    • Establish robust data quality, validation, alerting, and observability frameworks to maintain accuracy, consistency, and trust in enterprise data.
  11. AI/ML Data Enablement (Optional)
    • Prepare ML-ready datasets for pricing, risk, fraud detection, underwriting, claims leakage, and predictive insights.


Equal Opportunity Employer
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