Senior Engineer

JOIN US AS A SENIOR ENGINEER - TARGET DATA ENGINEERING

Behind one of the world’s best loved brands is a uniquely capable and brilliant team of Data and AI Scientists, Analysts, and Engineers.  The Target Data Engineering team creates the tools and data products to sustainably educate and enable our business partners to make great data-based decisions at Target.  Data Engineering is a global and collaborative team building enterprise data and platform products while utilizing the latest Big Data development tools/technologies at scale. You will work closely with Product Owners, Data Analysts, and Data and AI Scientists to create datasets, features, libraries’ and tools that support discovering, analysing, moving, visualizing, modeling and experimentation of voluminous data collected from internal and external systems.  Business decision-

making and initiatives are empowered with these model recommendations to achieve Target’s strategic goals while providing world-class shopping experiences!

A role as a Senior Engineer is an opportunity to play on innovation’s next frontier.  We recognize that Target’s competitive advantage in offering even more value to our guests hinges on our ability to leverage the full capability of our data.  Here, you will provide technology leadership and hands-on contributions towards building technical solutions to collect, manage and store data from a wide range of sources.  The output of which is used to inform Target’s most important strategic objectives for creating compelling, differentiated experiences for our guests.

As a Senior Engineer at Target Data Engineering, you’ll take the lead as you…

• Assess client needs and convert business requirements into business intelligence (BI) solutions roadmap relating to complex issues involving long-term or multi-work streams.
• Analyse technical issues and questions identifying data needs and delivery mechanisms
• Implement data structures using best practices in data modeling, ETL/ELT processes, Spark, Scala, SQL, database, and OLAP technologies
• Build data caches and performant APIs following internal standards and best practices.
• Embrace the DevOps mentality (CI/CD) by building solutions designed for availability and scalability in an iterative manner
• Manage overall development cycle, driving best practices and ensuring development of high quality code for common assets and framework components
• Develop test-driven solutions and provide technical guidance and heavily contribute to a team of high calibre Data Engineers by developing test-driven solutions and BI Applications that can be deployed quickly and in an automated fashion.
• Manage and execute against agile plans and set deadlines based on client, business, and technical requirements
• Drive resolution of technology roadblocks including code, infrastructure, build, deployment, and operations
• Advocate for technologies, frameworks, design patterns, processes and guiding values of Data Engineering
• Ensure all code adheres to development & security standards

About you:

• 4 year degree or equivalent experience
• 5+ years of software development experience preferably in a data engineering/Hadoop development (Hive, Pig, Sqoop, Spark, etc.)
• Hands on Experience in Object Oriented or functional programming such as Scala / Java / Python
• Knowledge or experience with a variety of database technologies (HBase, Postgres, Teradata, Cassandra, SQL Server, Oracle)
• Knowledge with design of data integration using API and streaming technologies (Kafka) as well as ETL and other data Integration patterns
• Knowledge or experience in designing various data models for ensuring scalability and performance of data usage
• Experience with CI/CD toolchain (Drone, Jenkins, Vela, Kubernetes) a plus
• Maintains technical knowledge within areas of expertise
• Constant learner and team player who enjoys solving tech challenges with global team.
• Have experience working on Druid, Postgres or related technology
• Hands on experience in building complex data pipelines and flow optimizations
• Be able to understand the data, draw insights and make recommendations and Be able to identify any data quality issues upfront
• Experience with test-driven development and software test automation
• Follow best coding practices & engineering guidelines as prescribed
• Strong written and verbal communication skills with the ability to present complex technical information in a clear and concise manner to variety of audiences
• Stays current with new and evolving technologies via formal training and self-directed education