Professional, Systems Engineering

As a Professional, Systems Engineering at Fiserv, you will be responsible for owning the data warehousing strategy, implementation, maintenance, and support, with a focus on Snowflake solutions. Your role will involve collaborating with cross-functional teams, leading data initiatives, and acting as the subject matter expert for Snowflake across the organization. **Key Responsibilities:** - Define and implement best practices for data modeling, schema design, and query optimization in Snowflake. - Develop and manage ETL/ELT workflows for data ingestion, transformation, and loading into Snowflake from various resources. - Integrate data from diverse systems like databases, APIs, flat files, and cloud storage into Snowflake. - Use tools like Streamsets, Informatica, or dbt to streamline data transformation processes. - Monitor and tune Snowflake performance, including warehouse sizing, query optimization, and storage management. - Manage Snowflake's caching, clustering, and partitioning to improve efficiency. - Analyze and resolve query performance bottlenecks and data quality issues within the warehouse. - Collaborate with data analysts, data engineers, and business users to understand reporting and analytic needs. - Work closely with the DevOps team for automation, deployment, and monitoring. - Plan and execute strategies for scaling Snowflake environments as data volume grows. - Implement automations for regular tasks and enable seamless integration of Snowflake with BI tools like Power BI. - Support ad hoc query requests while maintaining system performance. - Create and maintain documentation related to data warehouse architecture, data flow, and processes. - Provide technical support, troubleshooting, and guidance to users accessing the data warehouse. - Optimize Snowflake queries, manage performance, and stay updated with emerging trends in data warehousing and data management. - Serve as a technical leader for Snowflake-based projects, provide mentorship to team members, and collaborate with stakeholders to define data warehousing initiatives and roadmaps. **Qualifications Required:** - 8 to 10 years of experience in data management tools like Snowflake, Streamsets, and Informatica. - Experience with monitoring tools like Dynatrace and Splunk, Kubernetes cluster management, CloudWatch, and Linux OS. - Ability to track progress, report status, present information effectively, and work well in a fast-paced environment. Thank you for considering employment with Fiserv. To apply, use your legal name, complete the step-by-step profile, and attach your resume. Fiserv is committed to diversity and inclusion and does not accept resume submissions from agencies outside of existing agreements. Be cautious of fraudulent job posts not affiliated with Fiserv.,