
Senior Data Engineer
Posted 11 hours ago

Posted 11 hours ago
This is a fully remote position, open to applicants in Tennessee.
• Collaborate with the analytics team and business partners across Kele companies to establish data requirements and facilitate business intelligence and reporting.
• Design, construct, test, and sustain data architectures, databases, and datasets for predictive or prescriptive modeling.
• Foster communication between business stakeholders and internal resources while creating, implementing, and delegating data-related responsibilities.
• Establish databases by merging internal and external data sources.
• Enhance the performance, stability, reliability, efficiency, quality, and governance of data sources and processes.
• Partner with the IT team to oversee the company's data infrastructure.
• Troubleshoot, maintain, and improve data transfer mechanisms, including pipelines and ETL processes.
• Manage multiple data warehouse environments in alignment with CI/CD and SDLC principles.
• Enable and execute data migrations across databases and servers, including on-premise SQL servers.
• Optimize stored procedures, replication, and nightly jobs for better performance.
• Document and monitor work in Jira.
• Utilize Azure SQL and Azure Data Factory to develop pipelines.
• Proven experience in developing, constructing, testing, and maintaining data architectures, databases, and datasets.
• Familiarity with data warehousing, data processes, and data governance.
• Expertise in creating databases by integrating internal and external data sources.
• Experience with data pipelines and ETL processes.
• Background in maintaining data warehouse environments and supporting CI/CD and SDLC principles.
• Experience in executing data migrations across databases and servers, including on-premise SQL servers.
• Proficiency in enhancing stored procedures, replication, and nightly jobs.
• Experience with Jira.
• Knowledge of Azure SQL.
• Experience with Azure Data Factory.
• Strong ability to collaborate with analytics teams, business partners, and IT teams.
• Capability to understand and define data requirements.
• Proficient in troubleshooting, maintaining, and enhancing data transfer mechanics.
• Medical, vision, and dental insurance.
• HSA/FSA (medical and dependent care).
• 401(k) plan with employer matching up to 4% with immediate vesting.
• Employer-paid short- and long-term disability coverage.
• Employer-paid basic life and AD&D insurance; supplemental life for employees and dependents is available.
• Paid time off and paid holidays.
• Tuition reimbursement.
• Paid maternity leave.
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