Senior ML Automation Engineer

Role : Sr. Platform Automation / Python Engineer Location : Columbus, OH Duration : 12+ Months (High Possible Extension) Job Description : Our client is seeking a Sr. Platform Automation Engineer with strong Python expertise to support the migration of Teradata on-prem platforms to Snowflake on AWS. This role is part of the Data Ecosystem team and will focus heavily on automation, Python scripting, API integrations, and cloud enablement. Responsibilities : Manage Teradata and Snowflake platforms within the data ecosystem. Support migration efforts from Teradata (on-prem) to Snowflake (AWS). Build large-scale automation solutions using Python. Work extensively with APIs for integration and automation tasks. Utilize AWS services; prior AWS experience is a major plus (client can ramp up the right candidate). Support CI / CD pipelines and automation processes. Write and optimize SQL queries; experience with SQL packages is a strong advantage. Collaborate with engineering teams to ensure platform stability, performance, and scalability. Contribute to design, scripting, testing, and operational readiness. Required Qualifications : 5+ years of applied software engineering experience. Strong hands-on experience in Python scripting and automation. Experience with Snowflake architecture, features, data loading / unloading, transformations, and performance optimization. Proficient in AWS and Python libraries such as boto3, pandas, and sqlalchemy. Strong SQL skills (complex queries, joins, window functions, data modeling). Solid understanding of CI / CD, Agile methodologies, and application resiliency / security practices. Experience delivering system design, development, testing, and operational stability. Experience with AWS services such as S3, EC2, Lambda, IAM, Glue. Experience working with cloud, automation, or data engineering environments. Knowledge of financial services industry IT systems is a plus. Preferred Qualifications : Experience with data visualization tools such as Tableau or Looker. Knowledge of machine learning concepts and frameworks. Familiarity with Git, Bitbucket, and version control workflows. Ability to document processes and train team members. Strong analytical and troubleshooting skills with focus on performance optimization.