What are the responsibilities and job description for the Cloud Data Developer/Engineer position at Hired by Matrix?
At-a-Glance :
Are you ready to build your career by joining a global pharmaceutical company. If so, our client is hiring a Cloud Data Developer / Engineer.
Position Type :Required :
- Proven track record of developing, deploying, and supporting data analytic tools and solutions.
- 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.
- Minimum of - years of experience.
- Bachelor’s Degree required with Master’s Degree preferred or equivalent industry experience.
- Cloud Data Developer / Engineer will work on a team building data store(s), 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.
- Will collaborate closely with data science and biostatisticians in statistics methodology and machine learning to support projects in various stages of development in multiple business groups.
- 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 data, big data and machine learning solutions. Experience with big data platforms like Databricks and AWS Services. Some experience with cataloging of data in big data scenarios such as data lakes utilizing tools like Databricks Unity Catalog, Informatica Metadata, AWS Glue Catalog. Experience with creating data pipelines for big data ingestion and data processing using AWS Services and Informatica Cloud. Experience with Python with PySpark, R, and SQL. 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 datasets. Familiarity with sophisticated deep learning data science tools like Keras, PyTorch, and TensorFlow. Experience with Analytics tools such as Tableau and QuickSight. (Visualization), Posit (formerly RStudio), Databricks. Must have deep expertise in ETL / ELT including the creation of destination files like Parquet and ORC. Experience with data access controls, privacy and security policies using AWS, and other tools such as Immuta, Databricks Unity Catalog, etc. Some experience with Clinical data, Image Viewer, SAS is desired.
Responsibilities :
Get in Touch :
If you think you'd be a good match, submit your resume and reach out to Trusha at () - to learn more.
Salary : $71 - $76
