AWS Data Engineer

Overview

On Site
USD 60-70
Full Time
Part Time
Accepts corp to corp applications
Contract - Independent
Contract - W2

Skills

Data engineers will be responsible for designing and implementing data ingestion workflows to ingest data from a variety of sources
including government operations
business data
workforce data
and health data.
data engineers should have a minimum of 3-5 years of experience in building and maintaining large-scale
enterprise-grade data lake solutions on the AWS platform and will be required to maintain comprehensive documentation of the data lake architecture
data models
and data pipeline workflows. Engineers will also support a few existing Azure Data factory workloads

Job Details

DatamanUSA is looking for a AWS Data Engineer for our direct client based in VT. This is a great opportunity for someone who is a quick learner with excellent people skills.

Job Details:

Job Title: AWS Data Engineer

Location: Montpelier, VT

Duration: 12 months



Responsibilities:

*) Data engineers will be responsible for designing and implementing data ingestion workflows to ingest data from a variety of sources, including government operations, business data, workforce data, and health data.

*) Domain expertise in one or more of these areas is preferred.

*) They will build robust, scalable, and efficient ELT (Extract, Load, Transform) patterns using AWS services such as S3, Glue, Athena, and Redshift.

*) The data engineers will also be responsible for designing the data models and managing the schemas for the bronze and silver layers of the medallion architecture, as well as implementing data quality checks, data lineage tracking, and metadata management to ensure data governance and compliance. Additionally, they will automate data pipeline workflows using tools like AWS Glue, AWS Step Functions, or Apache Airflow, and collaborate closely with technical staff, data analysts, data scientists, and business stakeholders.

*) The selected data engineers should have a minimum of 3-5 years of experience in building and maintaining large-scale, enterprise-grade data lake solutions on the AWS platform and will be required to maintain comprehensive documentation of the data lake architecture, data models, and data pipeline workflows. Engineers will also support a few existing Azure Data factory workloads.

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