High Priority Position: GCP Data Engineer with Data Analytics, Data Integration, ETL pipelines, Data Architecture and Design patterns, Data Security and Automation exp. || Remote
Babu S
Hope you are doing great today...
This is BABU, BDM FROM PANTAR SOLUTIONS INC, we are an Information Technology and Business Consulting firm specializing in Project-based Solutions and Professional Staffing Services. Please have a look at below position which is with our Client and let me know your interest ASAP. I would really appreciate if you could send me your MOST RECENT UPDATED RESUME:
Role: GCP Data Engineer with Data Analytics, Data Integration, ETL pipelines, Data Architecture and Design patterns, Data Security and Automation exp.
Location: Remote
Duration: Long Term Contract
Consultant LinkedIn profile should be created before 2018 || No Junk Profiles please.
Need 8-10+ yrs of IT Exp. Profiles || Need Passport number, I94, Travel History documents during submission for H1/GC/GC EAD
Job Description
Join the Data and Analytics Engineering team to drive data, analytics, and insights transforming the healthcare industry. As a core member of the data engineering team, you will be responsible to build and deliver best in class data products and analytics solutions on Google Cloud / Azure Platform and on-prem infrastructure for the Pharmacy Specialty Service Analytics & Behavior Change group.
Responsibilities:
* Collaborate with business partners to identify opportunities to leverage structured, semi structured, and unstructured data to make analytics faster, more insightful, and more efficient.
* Build the next generation data solutions using core data technologies in support of next best actions.
* Execute a highly scalable data architecture and data platforms which enables data integration, data management, and analysis of massive data sets from multiple channels.
* Work closely with data scientists on preparing feature sets, deep exploration of data elements, integrate ML and NLP based models on the data pipeline and productionize models.
* Re-engineer existing on-prem solutions to the cloud platform as well as address performance optimization of the data pipelines.
* Bring a DevOps mindset to enable big data and batch/real-time analytical solutions that leverage emerging technologies.
Required Qualifications
* 5 or more years of progressively complex related experience in data analytics
* 3 or more years of hands-on experience on data integration, ETL pipelines, data architecture and design patterns, data security and automation
PLEASE NOTE:
If for any reason this does not interest you or you felt uncomfortable by any part of this email, I sincerely apologize. Please consider this E-mail as a request for referrals and feel free in forward this email to anyone whom you might find a fit.