Qualifications

• Solid foundation in SQL and SQL Server administration, including performance tuning and security.
• Hands-on experience with ETL pipelines, preferably using SSIS.
• Proficiency in C# for creating custom data tools and automating processes.
• Familiarity with BI tools like Power BI for data visualization.
• Experience with Azure data services (Data Factory, Synapse) or similar cloud platforms.
• Comfortable with both legacy and modern data environments.
• Ability to manage daily operations while contributing to long-term projects.

Responsibilities

• Administer and optimize SQL Server databases to ensure efficient performance.
• Develop, maintain and enhance ETL pipelines to support data integration.
• Create custom tooling and automation scripts using C# to streamline processes.
• Collaborate with the BI team to ensure data accuracy and reporting effectiveness.
• Engage with the AI/ML team to support their data workflow needs and initiatives.
• Bridge old and new systems, ensuring seamless data flow between legacy and cloud environments.
• Contribute to long-term data strategy by participating in build projects alongside operational tasks.

Benefits

• Opportunity to work in a high-visibility role within a growing AI/ML function.
• Engagement in a modernizing data infrastructure to impact business intelligence.
• Collaborative work culture that emphasizes teamwork and innovation.
• Exposure to cutting-edge cloud technology and data services.