Description:
JOIN US AS A SR DATA ENGINEER ON TARGET DATA SCIENCES TEAM

About This Opportunity

Join Target's Data Sciences
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/Data 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 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
• 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: