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
Cloud Data Developer / Engineer in new jersey at Unknown Company
This position is listed as full time and onsite.