Software Development Engineer

Client: Workday Title: Software Development Engineer ( need data engineers with Databricks, MLOps, Spark and AWS) Client: Workday, two location Beaverton, Oregan or Pleasanton, CA, Hybrid 2 days Must have: We are not looking for ML engineers or Data Scientist, we are looking for Software engineers, candidates from data side with ML Ops Must have- Data Bricks, AWS, Spark, ML Ops, need independent consultants , data pipeline with ML. ETL pipeline. someone who has done migration type projects will be the best fit. For Sr. candidate: 2 roles open As a Software Development Engineer in ML, you will:Transition Databricks pipelines to Workday Data Engineering tooling on AWSTransition Databricks notebooks to AWS SageMaker StudioDevelop features for Workday Data Engineering tooling that promote data mesh architecture principlesLead teams through best practices in ML and ML OpsInfluence the direction of our product vision and strategy with technical expertise and contextProvide critical feedback for the team's technical designs, architecture, and decisions About You Basic Qualifications:2 or more years of experience using Databricks2 or more years of experience using ML pipeline tools: Airflow, Dagster, ML Flow, AWS Glue, Spark, etc.2 or more years of experience using cloud compute technologies: AWS, GCP, etc.5 or more years of experience building production grade software and practicing Agile methodologies Other Qualifications:3 or more years of experience building data mesh architectures3 or more years of experience with ML ops3 or more years of experience with machine learning and data science technologies