Data Engineer

Company

Stock Yards Bancorp, Inc. (NASDAQ: SYBT), parent company of Stock Yards Bank & Trust Company, with offices in Louisville, Central, Eastern and Northern Kentucky, as well as the Indianapolis, Indiana and Cincinnati, Ohio metropolitan markets.

Data Engineer

Exempt

Enterprise Data Analytics

Monday – Friday – 40 hours

Stock Yards Bank & Trust is seeking a skilled and detail-oriented Data Engineer to support the bank’s data analytics initiatives. The selected candidate will work closely with data analysts, data scientists, and key stakeholders across the bank to design, develop, and maintain scalable data pipelines and infrastructure. This role involves designing and implementing ETL processes, ensuring data quality and integrity, and developing robust data models to support comprehensive reporting and analytics needs.

The ideal candidate will have a strong technical background in data engineering, experience with various database architectures and ETL tools, and a passion for leveraging data to drive business value. This is an onsite position with no relocation assistance provided.

• Supports the mission, vision and philosophy of the bank. Complies willingly with all organizational policies and procedures.
• Supports all functions that maintain compliance with regulatory agencies.

• Design, develop, and maintain scalable data pipelines to support the bank's data analytics initiatives
• Implement and optimize ETL processes to ensure efficient data flow and integration from various sources, including APIs, SFTP, cloud and on-prem systems
• Collaborate and communicate effectively with analysts and business stakeholders to empower self-service analytics, facilitate the discovery of insights, and create intuitive visual representations of data
• Develop and maintain data models to support reporting, analytics, and data visualization needs
• Developing and implementing data security measures to protect sensitive information
• Ensure data quality and integrity by implementing data governance practices, including data validation, cleansing, and classification
• Monitor and troubleshoot data pipeline performance to ensure reliability, efficiency and cost optimization
• Maintain healthy code repositories and leverage source control systems (e.g., Git) to ensure efficient version management, seamless collaboration, and adherence to best practices in code management
• Develop and maintain an understanding of the bank’s data sources and how they can be used to provide business value for the bank
• Stay up to date with emerging technologies and industry trends to drive innovation and maintain a competitive edge in data engineering
• Develop and maintain documentation for data pipelines, processes, and data models

Works in office with occasional travel to bank locations, training seminars and conferences

Bachelor’s degree in Data Analytics, Statistics, Mathematics, Computer Science, Business Administration or related field

• 5+ years of experience working in an analytics/data engineering role
• Track record of success in developing and deploying creative insights, services and solutions that drove increased business value
• Financial services background is a plus
• 3+ years working on maintaining databases with a focus on improving data ingestion pipelines
• Expertise in designing and implementing star schema dimensional models, establishing a single source of truth for analytical reporting, dashboards and insights discovery
• Experience with various database architectures (e.g. SQL Server, Snowflake, Databricks, Azure)
• Experience with various visualization solutions (e.g. Tableau, PowerBI, Sigma, Micro Strategy)
• Experience with various ETL and orchestration solutions (e.g. Informatica, Fivetran, DBT, Matillion)
• Proficient in writing advanced SQL to handle complex data transformations

• Motivated, self-starter
• Track record of working autonomously with organizational and time management skills
• Proven ability to manage multiple projects simultaneously while maintaining high standards of…