Senior Snowflake Engineer

JOB REQUIREMENTS: At Associated Bank we strive to create an inclusive culture where different perspectives are valued and recognized as strengths critical to our success. If you thrive in an environment where your growth and development are encouraged and supported, then Associated Bank may be the right place for you. The Data Engineer Senior will have a strong background in data engineering, with extensive experience in designing, building, and maintaining scalable data pipelines and architectures. As a Data Engineer Senior, you will play a critical role in shaping our data infrastructure, ensuring the availability, reliability, and performance of our data systems. The Data Engineer Senior will be responsible for mentoring and teaching existing colleagues. As such, the ideal candidate must have experience clearly explaining solutions to complex problems and demonstrate the ability to lead and impact knowledge effectively to junior resources. THIS POSITION IS NOT ELIGIBLE FOR VISA SPONSORSHIP. We can hire candidates located within the Associated Bank footprint. This includes the states of Arizona, Connecticut, Florida, Illinois, Iowa, Indiana, Massachusetts, Maine, Michigan, Minnesota, Missouri, Nebraska, New Hampshire, New Jersey, New York, Nevada, Ohio, Pennsylvania, Rhode Island, South Carolina, Texas, and Wisconsin. We invite you to view the opportunity below. As a Senior Snowflake Engineer, you will: Design, develop, test, and deploy streaming and batch ingestion methods and pipelines across a variety of data domains leveraging programming languages, application integration software, messaging technologies, REST APIs and ETL/ELT tools. Ensure that high-throughput, low-latency, and fault-tolerant data pipelines are developed by applying best practices to the data mapping, code development, error handling and automation. As part of an agile team, design, develop and maintain an optimal data pipeline architecture using both structured data sources and big data for both on-premises and cloud-based environments. Develop and automate ETL/ELT code using scripting languages and ETL tools to support all reporting and analytical data needs. Following DataOps best practices, enable orchestration of data, tools, environments, and code. Design and build dimensional data models to support the data warehouse initiatives. Identify, design, and implement internal process improvements: automating manual processes, For full info follow application link. The employment policy of Associated Banc-Corp, and its subsidiaries and affiliates (""Associated"") provides equal opportunity to all persons. We support a diverse and inclusive work environment where colleagues are respected, treated fairly, and given equal opportunities to perform to their fullest potential. We believe it is only with a diverse and inclusive workplace that the organization can truly perform at its best, carry out its vision, and make a difference for the communities we serve. APPLICATION INSTRUCTIONS: Apply Online: ipc.us/t/A1217746EBE4481A