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 Marketing, Supply Chain Optimization, Network Security and Personalization rely on.

About the Role:
As a Lead Data Engineer at Target, you serve as the technical anchor for the data engineering team that supports our products. You create, own, and are responsible for the data architecture that best serves our product needs, both functionally and non-functionally. You identify and drive architectural changes to accelerate feature development or improve the quality of service (or both). You have deep and broad engineering skills and are capable of designing and implementing a complete data architecture on your own, but you choose to influence a wider team by acting as a “force multiplier.” Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.

Responsibilities:

Technical Leadership: Use your technology acumen to apply and maintain knowledge of current and emerging data technologies within specialized areas 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.

Research & Development: Initiate and execute research and proof-of-concept activities for new data technologies.

Strategic Planning: Lead or set strategy for testing and debugging at the platform or enterprise level. Serve as an expert resource in creating and improving standards and best practices to ensure high-performance, scalable, repeatable, and secure data solutions.

Design & Lifecycle Management: Lead the design, lifecycle management, and total cost of ownership of data services. Provide the team with thought leadership to promote re-use and develop consistent, scalable patterns.

Enterprise Impact: Participate in planning data services that have enterprise impact. Provide suggestions for handling routine and moderately complex technical problems, escalating issues when appropriate.

Data Analysis: Gather information, data, and input from a wide variety of sources; identify additional resources when appropriate, engage with stakeholders, and conduct in-depth analysis of information.

Project Management: Develop plans and schedules, estimate resource requirements, and define milestones and deliverables. Monitor workflow and risks; play a leadership role in mitigating risks and removing obstacles.

Implementation & Automation: Lead and participate in complex data construction, automation, and implementation activities, ensuring successful implementation with architectural and operational requirements met.

Standards & Best Practices: Establish new standards and best practices to monitor, test, automate, and maintain data systems. Serve as an expert resource in disaster recovery and disaster recovery planning.

Continuous Learning: Stay current with Target’s technical capabilities, infrastructure, and technical environment. Maintain deep technical knowledge within areas of expertise.

Data Modeling: Develop fully attributed data models, including logical, physical, and canonical. Influence data standards, policies, and procedures.

Optimization: Install, configure, and/or tune data management solutions with minimal guidance. Monitor data management solutions and identify optimization opportunities.

About You:

Education: 4-year degree or equivalent experience

Experience: 7+ years of software development experience with at least one full cycle implementation

Domain Knowledge: Demonstrates strong domain-specific knowledge regarding Target’s technology capabilities and key competitors’ products and differentiating features

Technical Expertise: Demonstrates broad and deep expertise in multiple computer languages and frameworks (e.g., open source). Designs, develops, and approves end-to-end functionality of a product line, platform, or infrastructure. Is proficient in building Data Pipelines using Scala, Spark, Hadoop, HiveQL etc, and streaming frameworks such as Kafka. Good to have experience in building near real time data systems.

Communication Skills: Communicates and coordinates with project team, partners, and stakeholders

System Analysis & Optimization: Demonstrates expertise in analysis and optimization of systems capacity, performance, and operational health

Data Lifecycle Management: Understands and develops solutions to foster data lifecycle management

Technical Knowledge: Maintains deep technical knowledge within areas of expertise. Stays current with new and evolving technologies via formal training and self-directed education

Scalability: Experience in building highly scalable distributed systems

Join Us:
If you are passionate about leading data engineering initiatives and driving innovation in data strategies, apply now and become a part of a dynamic team that values groundbreaking thinking and visionary goals.

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