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Cloud Data Developer / Engineer

SGS Consulting

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
Vacancy posted more than 2 months ago
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