Machine Learning Engineer

Will create ETL jobs into glue. This will be a data engineer. Experience with cloud platforms, particularly Amazon Web Services (AWS) Advanced knowledge of RDBMS as well as Columnar Databases and NoSQL. Knowledge and experience with data modeling, data warehousing Exposure to Software Engineering environment (Agile, DevOps, Architecture and Documentation Techniques) Distributed systems and parallel programming Plan, design, operation and troubleshooting of databases Experimental design ndash proof of concept (POC), systems reliability, performance and design of streamlined data delivery Experience and firm knowledge of managing multiple disparate data sources, ETL and data pipelines for machine learning and BI Conduct data analysis and ensure transformation covers all possibilities including data irregularities Ownership of data assets with accountability for tuning, optimization and scalability Experience documenting data requirementsdata stories and maintain data models Working in a team environment, interacting with multiple groups on a daily basis (very strong communication skills). Excellent knowledge of SQLT-SQL and Python AWS Glue SDK, Pyspark or Scala ETLs AWS Glue Crawlers, Catalog, ETL Jobs and Data Lake design and architecture. Experience maintaining Data Catalogs Exposure to Big Data Architecture in AWS, EMR, S3, Redshift, Athena, RDS, DynamoDB, DMS and Quicksight Data security and Data Governance best practices Basic knowledge of Machine Learning is a big plus.

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