Job Description

Job Responsibilities:

• Experience with AWS and all services required for providing big data and machine learning solutions
• Familiarity with big data platforms like AWS EMR, AWS Glue, and Databricks
• Must be familiar with cataloging data in big data scenarios such as data lakes utilizing tools like Hive or Glue Catalog.
• Must be familiar with creating data pipelines for big data ingestion
• Experience with Python with PySpark, Scala, R, or SQL (Scala is a nice to have but not required)
• Ability to work with imaging files like DICOMs and how to extract metadata from those images and catalog the data.
• Experience with data cleansing and processing SAS datasets
• Experience with sophisticated deep learning data science tools like Keras, PyTorch, and TensorFlow
• Advanced data analysis
• Data storytelling
• Visual analytics with tools like Tableau, Spotfire, or QuickSight
• Must have deep expertise in ETL including the creation of destination files like ORC and Parquet.
• SAS experience preferred, but not required
• Experience with AWS and all services required for providing big data and machine learning solutions
• Familiarity with big data platforms like AWS EMR, AWS Glue, and Databricks
• Must be familiar with cataloging data in big data scenarios such as data lakes utilizing tools like Hive or Glue Catalog.
• Must be familiar with creating data pipelines for big data ingestion
• Experience with Python with PySpark, Scala, R, or SQL (Scala is a nice to have but not required)
• Ability to work with imaging files like DICOMs and how to extract metadata from those images and catalog the data.
• Experience with data cleansing and processing SAS datasets
• Experience with sophisticated deep learning data science tools like Keras, PyTorch, and TensorFlow
• Advanced data analysis
• Data storytelling
• Visual analytics with tools like Tableau, Spotfire, or QuickSight
• Must have deep expertise in ETL including the creation of destination files like ORC and Parquet.
• SAS experience preferred, but not required

Skills:

• Data Engineer / Cloud Developer
• AWS
• Databricks
• Data Engineer / Cloud Developer
• AWS
• Databricks

Education/Experience:

• Proven track record of developing, deploying, and supporting data analytic tools
• Experience developing front-end interface to statistical models with tools like R/Shiny or others
• Experience managing and coordinating with IT teams to maintain secure and compliant tools and applications
• Experience with developing and deploying cloud-based tools or distributed computing environment using Spark
• Proven track record of developing, deploying, and supporting data analytic tools
• Experience developing front-end interface to statistical models with tools like R/Shiny or others
• Experience managing and coordinating with IT teams to maintain secure and compliant tools and applications
• Experience with developing and deploying cloud-based tools or distributed computing environment using Spark

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