AWS Cloud Data Engineer

WEBTELLECT, LLC

Seattle, WA, United States

6 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

jobs.smartrecruiters.com

Tech stack

Amazon Web Services Amazon Elastic Compute Cloud Amazon S3 Information Engineering Data Systems Data Warehousing Distributed Data Store Python (Programming Language) SQL Databases Apache Spark Electronic Medical Records Jupyter

+5 more

Data Lakes Pyspark AWS Glue Data Pipelines Amazon Redshift

Requirements

Experience setting up AWS Data Platform - AWS CloudFormation, DevelopmentEndPoints, AWS Glue, EMR and Jupyter/Sagemaker Notebooks, Redshift, S3, and EC2 instances.
Track record of successfully building scalable Data Lake solutions that connects to distributed data storage using multiple data connectors.
Must have a background in data engineering - Data Warehouse Development experience would be perfect
Must have strong skills in SQL, Python, PySpark, and AWS
Experience in designing, developing, optimizing and troubleshooting complex Data Pipelines using Spark cluster
Ability to lead proofs-of-concepts and then effectively transition and scale those concepts into production at scale through, engineering, deployment and commercialization.
Serve as an expert; envision and integrate emerging data technologies, anticipate new trends to solve complex business and technical problems.

About the company

Webtellect is an established software consulting firm. We are equivalent to the finest “custom home builders” as it applies to software. We build software for those companies who have funding but not the resources or for those companies who have the resources but not bandwidth. We analyze, design, develop, test, deploy, maintain, and learn from our engagements to improve for the next. We all share a passion and joy for software excellence. As such, Webtellect consultants are highly coveted.