Sr Engineer (Data Engineer)

About us:

As a Fortune 50 company with more than 350,000 team members worldwide, Target is an iconic brand and one of America's leading retailers.​

Working at Target means the opportunity to help all families discover the joy of everyday life. Caring for our communities is woven into who we are, and we invest in the places we collectively live, work and play.

We prioritize relationships, fuel and develop talent by creating growth opportunities, and succeed as one Target team. At our core, our purpose is ingrained in who we are, what we value, and how we work. It’s how we care, grow, and win together.

As a Senior Engineer, you serve as a specialist in the engineering team that supports the

product. You help develop and gain insight in the application architecture. You can distill an

abstract architecture into concrete design and influence the implementation. You show

expertize in applying the appropriate software engineering patterns to build robust and

scalable systems. You are an expert in programming and apply your skills in developing the

product. You have the skills to design and implement the architecture on your own, but

choose to influence your fellow engineers by proposing software designs, providing

feedback on software designs and/or implementation. You show good problem solving skills

and can help the team in triaging operational issues. You leverage your expertise in

eliminating repeat occurrences.Use your skills, experience and talents to be a part of

groundbreaking thinking and visionary goals. As a Sr. Engineer, you’ll take the lead as

you...

Use your technology acumen to apply and maintain knowledge of current and emerging

technologies within specialized area(s) of the technology domain. Evaluate new

technologies and participate in decision-making, accounting for several factors such as

viability within Target’s technical environment, maintainability, and cost of ownership. Initiate

and execute research and proof-of-concept activities for new technologies. Manage total

product, financials and forecasting. Lead the design, lifecycle management, and total cost of

ownership of services. Lead and conduct code review, design review, testing, and

debugging activities at the application level. Lead functional design and architecture

discussions with understanding of process flows and system diagrams to enable design

decisions. Participate in routine and non-routine construction, automation, and

implementation activities, ensuring successful implementation with architectural and

operational requirements and best practices met. Provide technical oversight and coach

others to resolve complex and severe technical issues. Lead disaster recovery activities and

contribute to disaster recovery planning. Embed data quality protocols throughout data

acquisition, processing, storage, and operational use.

Core responsibilities of this job 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
• 5+ years of software development experience
• Demonstrates strong domain-specific knowledge regarding Target’s technology capabilities, and key competitors’ products and differentiating features
• Working knowledge on package-specific configuration and deployment along with ability to build custom solutions
• Have experience in building Data Pipelines using Scala, Spark, Hadoop, HiveQL etc.
• Have experience with streaming frameworks such as Kafka.
• Have experience with Data Warehousing, Data Modelling and Data Profiling.
• Designs new testing methods and resolves routine and non-routine technical issues with minimal assistance
• Demonstrates strong proficiency in core development platforms within own domain
• Builds strong commitment within the team to support the appropriate team priorities
• Clearly communicates Agile concepts to partners within product team
• Demonstrates a solid understanding of the impact of own work on the team and/or guests
• Writes and organizes code using multiple computer languages, including distributed

programming and understand different frameworks and paradigm

• Delivers high-performance, scalable, repeatable, and secure deliverables with broad

impact (high throughput and low latency)

• Influences and applies data standards, policies, and procedures
• Maintains technical knowledge within areas of expertise
• Stays current with new and evolving technologies via formal training and self-directed education