Data Engineer

Stock Yards Bank & Trust•Louisville, KY

6d•Onsite

About The Position

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.

Requirements

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
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, MicroStrategy)
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 quality and meeting deadlines
Enjoy supporting team members by sharing technical knowledge and helping solve problems
Ability to develop and follow documented policies and procedures to ensure proper compliance
Strong technical acumen and decision-making skills
Strong problem-solving skills with the ability to troubleshoot and resolve complex technical issues efficiently
Exhibit a professional appearance and demeanor
Ability to work flexible work schedules, after-hours as required
Professional verbal and written communication skills
Ability to use the Microsoft Office M365 suite of products
Primarily sedentary work performed in an office environment
Ability to sit for extended periods of time while working at a computer
Frequent use of hands and fingers to operate a computer, keyboard, mouse, and other office equipment
Ability to speak clearly and hear well enough to communicate with clients, team members, and vendors via phone, video, and in person
Visual acuity sufficient to read computer screens, printed documents, and financial data
Occasional standing, walking, bending, or reaching
Ability to lift and carry up to 10–15 pounds occasionally (e.g., files, office supplies)

Nice To Haves

Financial services background is a plus

Responsibilities

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