About us:

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. At Target, we have a timeless purpose and a proven strategy and that hasn’t happened by accident. Some of the best minds from diverse backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target’s global team and has more than 4,000 team members supporting the company’s global strategy and operations.

Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values diverse backgrounds. We believe your unique perspective is important, and you'll build relationships by being authentic and respectful. At Target, inclusion is part of the core value. We aim to create equitable experiences for all, regardless of their dimensions of difference. As an equal opportunity employer, Target provides diverse opportunities for everyone to grow and win.

Pyramid Overview:

Behind one of the world’s best loved brands is a uniquely capable and brilliant team of data scientists, engineers and analysts. The Target Data & Analytics team creates the tools and data products to sustainably educate and enable our business partners to make great data-based decisions at Target. We help develop the technology that personalizes the guest experience, from product recommendations to relevant ad content. We’re also the source of the data and analytics behind Target’s Internet of Things (iOT) applications, fraud detection, Supply Chain optimization and demand forecasting. We play a key role in identifying the test-and-measure or A/B test opportunities that continuously help Target improve the guest experience, whether they love to shop in stores or at Target.com.

A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, you’ll be challenged to harness Target’s impressive data breadth to build the algorithms that power solutions our partners in in Marketing, Supply Chain Optimization, Network Security and Personalization rely on.  

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

Useful Links-

Life at Target- https://india.target.com/

Benefits- https://india.target.com/life-at-target/workplace/benefits

Culture- https://india.target.com/life-at-target/diversity-and-inclusion