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Sr BI Engineer

Employer
Target
Location
Minneapolis, Minnesota, United States
Start date
Jan 23, 2019
Closing date
Mar 1, 2019

View more

Category
Business, Engineering
Employment Status
Full Time
Description: JOIN US AS A SR BI ENGINEER ON THE TARGET ENTEPRISE DATA TEAM

About This Opportunity

Join Target's Enterprise Data and Analytics team where you'll develop large scale BI and analytics products that help our teams make data driven decisions at scale!

As a Senior BI Engineer at Target, you'll take the lead as you…

Deliver technical data products, on time and with high quality that create significant impact to our business

Analyze diverse business problems and design high quality and innovative solutions using Hadoop ecosystem for data products working in partnership with Technical Product Managers

Effectively lead technology discussions with business partners and other external parties

Design for lean operations - our BIE teams support the solutions they create

Actively participate in product release cycles, stand up, design and code reviews

Mentor and provide proactive technical oversight, advice development teams fostering re-use, design for scale, stability, and operational efficiency of data/analytical solutions

Evaluate and recommend technology and frameworks for building cross product data assets to optimize for flexibility, long-term viability, and time to market

Execute proof-of-concept activities to best understand what options solve the business problems and fit with other Target technical assets

Keep current with technology and contribute towards IT blueprint, frameworks and technologies that would benefit us and improve our productivity as a team

Requirements

BA/BS in Computer Science, Data Science, Business Analytics, Statistics, Econometrics or relevant work experience

5 plus years of experience in software development

3 plus years hands on coding in Java/Scala and/or scripting in Python, Unix

3 plus years of Hadoop ecosystem experience on large scale data products using Spark, Hive, MapReduce, Pig, SQOOP, HBase as well knowledge of Kafka streaming and building API's

Demonstrated experience with design, development and implementation of large scale data systems using Hadoop (Cloudera/Hortonworks)

Exposure to DevOps development model (Docker, Kubernetes, Drone, Jenkins)

Expert designing data integrations using ETL and other data integration patterns

RDBMS development experience with Teradata, Oracle SQL and PL/SQL, DB2, or PostgreSQL


Qualifications:

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