What are the responsibilities and job description for the Cloud Data Developer/Engineer position at Integrated Resources, Inc ( IRI )?
The R&D group at ***, Inc is seeking a Cloud Data Developer / Engineer to work on a team building data lake(s), warehouse(s), pipelines, and machine learning models which will be utilized to drive drug development through predictive modeling of disease and drug response. The person in this role will also collaborate closely with biostatisticians in statistics methodology and machine learning to support projects in various stages of development in multiple business groups within ***. The Cloud Data Developer / Engineer will be part of providing actionable insights while creating mission critical data science projects for our business.
Technical Skills Required:
Experience with AWS and all services required for providing big data and machine learning solutions
Should be familiar with big data platforms like AWS EMR, AWS Glue, and Databricks
Must be familiar with cataloging of 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
Qualifications Required:
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
Excellent Communication And Presentation Skills Required
Experience in managing different workstreams and coordinating tasks with internal teams and outside consultants
Years of experience: 8-10 years minimally
Bachelors Degree required with Masters Degree preferred or equivalent industry experience
Technical Skills Required:
Experience with AWS and all services required for providing big data and machine learning solutions
Should be familiar with big data platforms like AWS EMR, AWS Glue, and Databricks
Must be familiar with cataloging of 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
Qualifications Required:
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
Excellent Communication And Presentation Skills Required
Experience in managing different workstreams and coordinating tasks with internal teams and outside consultants
Years of experience: 8-10 years minimally
Bachelors Degree required with Masters Degree preferred or equivalent industry experience
