Job Description Experience and firm knowledge of managing multiple disparate data sources, ETL and data pipelines for machine learning and BI Experience documenting data requirementsdata stories and maintenance of data models Excellent knowledge of SQLT-SQL and Python Experience with cloud platforms, particularly Amazon Web Services (AWS) Advanced knowledge of relational database systems as well as Columnar Databases and NoSQL Knowledge and experience with data modeling, data warehousing, information systems Software Engineering (Agile, DevOps, Design Techniques) Distributed systems and parallel programming Knowledge of master data management (MDM) and experience maintaining data catalogs Preferred knowledge of SQL Server, Pyspark, Glue and Data Lake design and architecture Exposure to Big Data Architecture in AWS, EMR, S3, Redshift, Athena, RDS, DynamoDB and Quicksight Basic knowledge of Machine LearningDeep learning is a big plus Data security best practices
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