Senior Data Engineer

Irving, TX 75038

Posted: 08/23/2019 Job Number: 285005979003





Job Title: Senior Data Engineer

Location: Irving, TX / Cedar Rapids, IA

Position type: Permanent

 

The Senior Data Engineer  relishes working with

large volumes of data, enjoys the challenge of highly complex technical

contexts, and, above all else, is passionate about data and analytics. He/she

is an expert with modern data architectures, data modeling, ETL design, business

intelligence tools and passionately partners with the business to identify

strategic opportunities where improvements in data infrastructure creates

significant business impact. He/she needs to possess exceptional technical

expertise in large scale data warehouse and BI systems.

 

Major

responsibilities:


Responsible for designing, building & managing the advanced

analytics platform to support data science and the business intelligence teams

with a mind toward accuracy, scalability and high performance.

Work with the product owner and data stakeholders to understand

the business requirements and implement optimal data solutions.

Architect, implement, and operate stable, scalable and highly

performant data pipelines that cleanse, structure and integrate disparate big

data sets into a readable and accessible format for end user analyses and

reporting.

Build & operate the Data Lake on AWS technologies to optimize

our data lifecycle and enable next generation data analytics.

Provide architectural, functional and process guidance on system

capabilities and solution approaches.

Provide technical guidance and thought leadership to other members

of the team.

 

Education

and Experience:


Bachelor's Degree in Computer Science or equivalent experience

5+ years hands-on experience with Data Warehousing design &

implementation (preferably with AWS Redshift or Snowflake Data Warehouse)

5+ years of strong experience with SQL and ability to write

efficient code for high volume data processing

5+ years hands-on ETL experience support high performing ETL

processes, including data quality and testing processes

2+ years hands-on experience implementing data lake solutions

(preferably on AWS technologies)

Experience with AWS Big Data technologies (Kinesis, EMR, AWS Glue,

etc.)

Experience with NoSQL technologies (DynamoDB, Redis, Elastic Search,

etc.)

2+ years programming experience with an advanced language (C#,

Python, Java, etc.)

Experience ensuring data quality across multiple data sets used

for analytical purposes

Experience with data visualization tools such as Tableau,

QlikView, Power BI, etc.

Experience in agile development methodologies.

Knowledge of statistical concepts and their application in

reporting and data mart applications

Good communication(oral and written) and interpersonal skills.

Enthusiastic attention to detail.

Ability to acquire new skills quickly, and thrive in a  collaborative team environment

Contact:  Imran Khan (913) 257-3377 Ext 191





 

 









































































































































Required: AWS (Redshift or Snowflake)-design & implementation experience Data Warehouse ETL SQL NoSQL some programming experience Nice to have Data lake Analytics background
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