Offer summary

Qualifications:

Strong experience with cloud technologies, particularly AWS., Proficient in using Amazon libraries and AWS Glue., Experience in migrating data from S3 to Redshift or Aurora., Familiarity with handling JSON data files..

Key responsibilities:

Facilitate the migration of data from S3 Data Lake to Redshift using AWS Glue.

Manage multiple S3 buckets and ensure smooth data transfer into Redshift.

Collaborate with internal cloud architects to align on project requirements.

Monitor and optimize data transactions as they scale to 40-50K per day.

Saviance Technologies is a US Healthcare IT Service provider focusing on Patient Engagement with Innovative Products and Solutions like Patient Intake Tablet, iHealthConnect Wellness Portal, Mobile Applications, Actionable Analytics and ICD-10 Testing Services. Incorporated in 1999 in New Jersey, with over 15 years of excellent industry track record, Saviance offers services & solutions that enable enterprises to achieve critical objectives. Saviance is a Gold Category Corporate Member with Healthcare Information Management Systems Society (HIMSS), member of mHealth Alliance and Corporate member of NJ-HITEC. We are awarded by INC. 5000 as one of the fastest growing privately held companies in North America. Saviance is also ranked among the Fast 50 Asian American Businesses in the United States by USPAACC (US Pan Asian American Chamber of Commerce) and selected as a 2014 "Top Business" recipient byDiversityBusiness.com. A certified Minority Business Enterprise recognized by NMSDC, Saviance is also partner with leading global brands such as Microsoft, Amazon Web Services, Apple, Samsung and Red Hat.

Job description

Job Title: Sr. AWS Cloud Engineer
Location- Boston, MA (100% Remote)
Contract- 3 months

BigR.io is a technology consulting firm empowering data to drive innovation and advanced analytics. We specialize in cutting-edge Big Data, Machine Learning, and Custom Software strategy, analysis, architecture, and implementation solutions. We are an elite group with MIT roots, shining when tasked with complex missions. Whether it's assembling mounds of data from a variety of sources, surfacing intelligence with Deep Learning, or building high-volume, highly-available systems, we consistently deliver.

Must Have:
-Strong Experience on Cloud
-Knowledge of Amazon Libraries
-AWS Glue experience
-Experience moving data from S3 to Redshift or Aurora

Job Description: The client is going from S3 Data Lake to Redshift. Glue is being used as the intermediary. Looker sits on top of Redshift but Looker is not a must have as their team can do that work. There are multiple S3 buckets that need to be moved through glue into Redshift. Cloud architects are not needed for this role as they have them internally. They are looking for engineers with glue experience and experience moving data from S3 to Redshift or Aurora,they use Redshift. Data is available in JSON files already. Data is in the development phase now, it should grow to 40-50K transactions per day.

Required profile