Data Engineer, Sr. (AWS)

May 8

Rackner

WebsiteLinkedInAll Job Openings

DevSecOps and AI from Cloud to Mission Edge | Kubernetes Partner | Multicloud | 8(a) | HUBZone

Mobile Applications • Web Development • Enterprise Applications • Enterprise Mobile Applications • Big Data

11 - 50

Description

• Data Ingestion • Data Pipeline • Website work

Requirements

• Software development and programming skills using Python (PySpark, Pandas) • Terraform • Developing cloud-based (AWS) software services and solutions. • Creating and driving large scale ETL pipelines in AWS based environments. • Integration of data from multiple data sources. • Creating and driving large scale big data analytics pipelines. • AWS big data technologies: S3, Glue, EMR, Kinesis, RDS, Redshift, Athena • Hadoop and Apache Spark cluster and management • SQL and database development skills, using RDBMS such as MySQL, PostgreSQL, AWS RDS • NoSQL databases such as AWS DynamoDB • AWS Services: EC2, S3, RDS, SageMaker, Athena, Glue, Lambda, EMR and more

Benefits

• 401K with 100% matching up to 6% • Highly competitive PTO • Great health insurance with large network of providers • Medical/Dental/Vision • Life Insurance, and short & long term disability • Industry-Leading Weekly Pay Schedule • Home office & equipment plan