What We Offer
- Flexible time off policy
- 401K Company match (up to 4% - dollar for dollar)
- Professional development, training, and tuition reimbursement programs
- Excellent medical, dental, vision, and life insurance policy options
- Opportunities for career advancement with an industry leading company!
Key Responsibilities
Data Integration & Development
- Design, develop, and maintain ETL/ELT processes to support enterprise reporting and analytics.
- Develop source-to-stage and stage-to-data warehouse data pipelines.
- Create and maintain data transformation logic, mappings, and business rules.
- Develop and optimize database views, stored procedures, and SQL scripts.
- Integrate data from databases, APIs, file systems, and third-party applications.
- Implement error handling, logging, monitoring, and recovery processes within ETL workflows.
- Support enterprise data warehouse architecture and data modeling initiatives.
- Ensure data quality, consistency, and integrity throughout the data lifecycle.
- Perform data validation, reconciliation, and root cause analysis.
- Collaborate with business analysts and stakeholders to translate requirements into technical solutions.
- Document data flows, mappings, technical specifications, and operational procedures.
- Develop and maintain workflow scheduling and orchestration processes.
- Configure job dependencies, alerts, notifications, and automated recovery procedures.
- Monitor ETL jobs and proactively identify performance bottlenecks.
- Support production deployments and post-deployment validation activities.
- Troubleshoot ETL failures and data quality issues.
- Participate in code reviews and adherence to development standards.
- Recommend improvements to data integration processes and system performance.
- Support production incidents and perform impact analysis as needed.
- 3+ years of experience developing ETL/ELT solutions.
- Strong experience with SQL and relational database platforms.
- Experience with data warehouse concepts, dimensional modeling, and data integration.
- Experience with ETL tools such as Azure Data Factory & Fabric.
- Strong analytical and problem-solving skills.
- Experience working with APIs, flat files, XML, JSON, and other data formats.
- Knowledge of data lake and lakehouse architectures.
- Experience with workflow scheduling tools such as Redwood RunMyJobs or equivalent.
- Experience with Service Now.
- Familiarity with Power BI and enterprise reporting platforms.
- Familiarity with Linux.
- Experience with Change Data Capture (CDC) and real-time data integration.
- Understanding of DevOps, CI/CD, and source control tools.
