-
ID
#45676415 -
Job type
Permanent -
Salary
TBD -
Source
Target -
Date
2022-09-05 -
Deadline
2022-11-04
Lead Data Engineer - Stores Data
Minnesota, Brooklynpark, 55429 Brooklynpark USAPermanent
Vacancy expired!
Location: 7000 Target Pkwy N, Brooklyn Park, Minnesota, United States, 55445
JOIN US AS A LEAD DATA/BI ENGINEER - BACK OF STORES Target Data Sciences Engineering team is an advanced, hyper-growing and collaborative team working on new and large scale data products. The Lead Data Engineer for this team will work closely with our Lead Data Scientists to build data pipelines utilizing Java, Python, Scala as well as Hadoop, Spark, Kafka, etc. to scale these Stores data products.About this OpportunityAs a Lead Data Engineer, you'll have the opportunity to build robust data pipelines, using agile practices and DataOps principles. Responsibilities will include designing, programming, debugging and supporting high quality, distributed, and large-scale software solutions on the latest Big Data tech stack. Specifically, you'll be designing and scaling the data engineering efforts for our Target.com digital marketing products and platforms. We are looking for a highly motivated data engineering professional who's a team player and can engage with both technical and business team members while mentoring/developing Sr and Jr Data Engineers on our growing team. Key Responsibilities:- Develop software systems using test driven development employing CI/CD practices
- Partner with other engineers and team members to develop software that meets business needs
- Follow Agile methodology for software development and technical documentation
- Innovate constantly and stay current with latest Big Data technologies (druid, etc.) while staying focused on solving large scale and challenging problems in retail and ecommerce.
- BS degree in Computer Science or relevant work experience
- 7+ years of experience in developing software applications
- Proficiency in at-least one of the following languages: Java, Scala, Python
- 3+ years of experience working in Big Data technologies like Hadoop, Hive, Spark, Kafka, etc. at scale
- Extensive understanding of application/software development and design
- Worked on building and supporting Web Services
- Experience with REST APIs' and services
- Constant learner and team player who enjoys solving tech challenges with global
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