Data Engineer

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Target is an iconic brand, a Fortune 50 company and one of America’s leading retailers.

Target as a tech company? Absolutely. We’re the behind-the-scenes powerhouse that fuels Target’s passion and commitment to cutting-edge innovation. We anchor every facet of one of the world’s best-loved retailers with a strong technology framework that relies on the latest tools and technologies—and the brightest people—to deliver incredible value to guests online and in stores. Target Technology Services is on a mission to offer the systems, tools and support that guests and team members need and deserve. Our high-performing teams balance independence with collaboration, and we pride ourselves on being versatile, agile and creative. We drive industry-leading technologies in support of every angle of the business, and help ensure that Target operates smoothly, securely and reliably from the inside out.

As an engineer, you serve as a technical specialist delivering the engineering that powers the product. You develop keen insight into the technical architecture and design to deliver robust and scalable software components. You constantly demonstrate the depth of your expertise by solving engineering problems. You are passionate about the quality of software and balance between speed of delivering new features and robustness of the software components you implement. You can handle operational issues with little or no oversight. You actively review code to ensure the software quality and functional accuracy is maintained across the team. You are keen to learn the design and architecture of the product and participate in ceremonies that can influence both.

Use your skills, experience and talents to be a part of groundbreaking thinking and visionary goals. As an engineer, you’ll take the lead as you…

Use your technology acumen to provide input to assist with evaluation of new technologies and contribute to the design, lifecycle management, and total cost of ownership of services. Contribute to research and proof-of-concept initiatives for new technologies and assist with code review and design review, writes, organizes and maintains code based on designs. With guidance, delivers high-performance, scalable, repeatable, and secure deliverables. Participate in structured construction, automation, debugging, and implementation activities, ensuring architectural and operational requirements and best practices are met. Participate in disaster recovery planning and disaster recovery activities and participate in functional integration and regression testing and ability to automate test scripts. Resolve frequently encountered technical issues and monitors systems capacity with minimal assistance. Search and understand metadata about various data sources and metrics. Adhere to change and incident management standards and expectations.

Core responsibilities are described within this job description. Job duties may change at any time due to business needs.

About you:

• 4 year degree or equivalent experience
• 1 to 3 years of experience in Big Data tools such as Hadoop, Spark, etc.
• Hands on Experience in Object Oriented or functional programming - Java and Python.
• Technical aptitude – Java, open source technologies and hands on experience in micro services
• Working knowledge of frameworks like – Spring Boot, Ratpack, Camel and Junit
• Have experience with Data Pipeline and workflow management tools such as Oozie.
• Have experience working on Hive, PostgreSQL, HBase or related technology
• Knowledge of Messaging and Event Systems such as Kafka
• Strong verbal, presentation and written communications skills for technical audiences; able to explain technical solutions to technical teams
• Have experience working on devops model
• Good interpersonal, problem solving, reasoning and analytical skills
• Good negotiation skills
• Good planning and organizational skills
• Self-starter with self-initiative and direction
• Works well independently
• Works with confidential information
• Good numeric aptitude
• Good understanding of PC and general office productivity applications
• Understands the retail business, technology, and the application of technology to our business
• Solid SDLC knowledge and expertise