Old National Bank is seeking a Data Engineer III with expertise in Azure, AWS, Databricks, and Python to design, build, and optimize scalable data pipelines and products. The ideal candidate will work closely with analysts, data scientists, and business stakeholders to deliver high-quality and efficient data solutions.
Requirements
- Bachelor’s degree required
- Over 5 years of experience in data engineering, including developing ETL/ELT, data pipelines, data lakes, data warehouses, and data integration solutions
- Over 3 years of experience on data engineering teams, preferably in a financial services or banking domain
- 3-5 years' experience Cloud platforms (AWS, Azure, GCP, Databricks,Snowflake) Databricks preferred and Python programming or advanced SQL coding and performance tuning
- Experience in a product mindset, using agile frameworks such as Scrum or Kanban
- Expertise in building scalable, reliable, and secure data products and platforms, using metadata driven, event driven, and API driven approaches
- Experience in scripting tools such as Python
- Experience in orchestration tools or job schedulers, such as Azure Data Factory, Airflow, or Luigi
- Experience in data modeling/mastering, data quality, data governance, and data security standards and best practices
- Experience in code repositories and version control tools such as Azure DevOps, Git, etc.
- Experience in analytical and data visualization tools such as Power BI, Tableau, or Qlik
- Experience in working with Salesforce data and digital banking data is a plus
- Very good working experience of T-SQL. Proficiency in complex stored procedures, user defined functions, and query optimization
Benefits
- Medical, dental, and vision insurance
- 401K
- Continuing education opportunities
- Employee assistance program
