Data Engineer Data Management ETL

Global Consulting Company  •  Loveland, CO

5 - 7 years experience  • 

$100K - $130K
Posted on 06/06/18 by Judy Loeb
Global Consulting Company
Loveland, CO
5 - 7 years experience
$100K - $130K
Posted on 06/06/18 Judy Loeb

Data Engineer Data Management ETL

Global consulting company

Green Card holders or us citizen only

**DO not apply unless you are a Green card holder or a US citizen**

Loveland, co location

MUST HAVE

Bachelor's or Master's Degree in technical or business discipline or related experience; Master's Degree preferred.

5+ years? experience with advanced data management systems (e.g. Teradata, Hadoop etc.)

5+ years? experience in developing applications in high volume data staging/ ETL environments and is proficient in advanced SQL skills (Postgres/ SQL)

Clear understanding of different data domains in operations, customer etc., and has experience in master data management

Strong analytical and problem-solving skills paired with the ability to develop creative and efficient solutions; tolerance in dealing with bad quality data

Knowledge of developing and maintaining formal documentation that describes data and data structures including data modeling

Team oriented, goals oriented, and flexible with proven track record in collaborating with multiple stakeholders

Experience in agile methodology 

Nice to have technical skills: Jira, AWS Glue, Redshift

Data Engineer to build and maintain an infrastructure for delivering customer insights from structured and unstructured data sources. 

The Data Engineer will implement analytical solutions with a focus on collecting, managing, modeling, analyzing, and visualizing data and develop batch & real-time processes to move data

Ability to work with senior IT and Business leaders providing technical guidance related to data architecture, data models and meta data management

Works closely with database teams on topics related to data requirements, cleanliness, accuracy etc.

Interacts with the Business divisions to understand all data requirements to develop business insights and translates them into data structures and data model requirements to IT

Codes, tests, and documents new or modified data systems to create robust and scalable applications for data analytics

Develops standards and processes for integration projects and initiatives

Collects, parses, manages, analyzes and visualizes large sets of data using multiple platforms

Ensures that data pipelines are scalable, repeatable, and secure, and can serve multiple users within the company

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