Job Title: Cloud Data Developer/Engineer

Location: Nutley, NJ (Onsite)
Duration: 12+ Months Contract

Interview :: Video

Visa : USC, H4-EAD, TN GC, GC-EAD

LinkedIn: Required

Need Local Candidates Only

Looking for candidates who can work on W2

Job Description:

IMP

• Bachelors degree with 10+ years min
• Python
• Proven track record of developing, deploying, and supporting data analytic tools and solutions.
• Spark
• Familiarity with sophisticated deep learning data science tools like Keras, PyTorch, and TensorFlow
• Experience with data access controls, privacy and security policies using AWS, and other tools such as Immuta,
• Some experience with Clinical data, Image Viewer, SAS is desired. Databricks Unity Catalog, etc.

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 8- 10 Years of experience8-10
• Bachelor's Degree required with Master's Degree preferred or equivalent industry experience

Responsibilities:

• 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.