AWS Cloud Data Engineer

Likely ghost job

🕒 April 1

☕ Washington – Remote

infoinfo

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

Amazon Redshift

AWS

EC2

PySpark

Python

Spark

SQL

Where this job comes from

Posted on Webtellect, LLC's careers page, not through a job board

First seen by Remote Rocketship April 1

Still open on Webtellect, LLC's site. Checked Yesterday.

Logo of Webtellect, LLC

Webtellect, LLC

11 - 50 employees

💼 Consulting

📣 Marketing

☁️ SaaS

Consulting • Marketing • SaaS

Webtellect, LLC is a modern software design and development company with a professional team offering deep technical and design expertise. The company provides services in support of Microsoft's platforms and technologies, building responsive Line of Business applications, interactive games, and immersive experiences. Webtellect specializes in mobile applications that enable enterprises to extend their functionality beyond their own networks, as well as cloud services including SaaS, PaaS, and Machine Learning. They are dedicated to providing the right resource with the right background and communication skills at the right time to meet client needs.

📋 Description

• To design, development, and enhancement of our AWS data environment.

🎯 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.

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