Lead Data Engineer

Job ID: R0000384122 Job family: Technology Engineering Location: Tower 02, Manyata Embassy Business Park, Bangalore, India, 560045

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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.

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 different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful.

Overview about TII:

At Target, we have a timeless purpose and a proven strategy. And that hasn’t happened by accident. Some of the best minds from different 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.

Team Overview:

Every time a guest enters a Target store or browses Target.com nor the app, they experience the impact of Target’s investments in technology and innovation. We’re the technologists behind one of the most loved retail brands, delivering joy to millions of our guests, team members, and communities.

Join our global in-house technology team of more than 5,000 of engineers, data scientists, architects and product managers striving to make Target the most convenient, safe and joyful place to shop. We use agile practices and leverage open-source software to adapt and build best-in-class technology for our team members and guests—and we do so with a focus on diversity and inclusion, experimentation and continuous learning.

Position Overview:

As aLead Data Engineer, you will serve as thetechnical anchorfor the engineering team, responsible for designing and developingscalable, high-performance data solutions. You willown and drive data architecturethat supports both functional and non-functional business needs, ensuringreliability, efficiency, and scalability.
Your expertise inbig data technologies, distributed systems, and cloud platformswill help shape the engineering roadmap and best practices fordata processing, analytics, and real-time data serving. You will play a key role inarchitecting and optimizing data pipelinesusingHadoop, Spark, Scala/Java, and cloud technologiesto support enterprise-wide data initiatives.
Additionally,experience with API development for serving low-latency dataandCustomer Data Platforms (CDP)will be a strong plus.

Key Responsibilities:

Architect and buildscalable, high-performance data pipelinesanddistributed data processing solutionsusingHadoop, Spark, Scala/Java, and cloud platforms (AWS/GCP/Azure).
Design and implementreal-time and batch data processing solutions, ensuring data is efficiently processed and made available for analytical and operational use.
Develop APIs and data servicesto exposelow-latency, high-throughputdata for downstream applications, enabling real-time decision-making.
Optimize and enhancedata models, workflows, and processing frameworksto improve performance, scalability, and cost-efficiency.
Drivedata governance, security, and compliancebest practices.
Collaborate withdata scientists, product teams, and business stakeholdersto understand requirements and deliverdata-driven solutions.
Lead thedesign, implementation, and lifecycle managementof data services and solutions.
Stay up to date withemerging technologiesand drive adoption of best practices inbig data engineering, cloud computing, and API development.
Providetechnical leadership and mentorshipto engineering teams, promoting best practices indata engineering and API design.

About You:

7+ years of experience in data engineering, software development, or distributed systems.
Expertise in big data technologiessuch asHadoop, Spark, and distributed processing frameworks.
Strong programming skills in Scala and/or Java(Python is a plus).
Experience with cloud platforms (AWS, GCP, or Azure)and theirdata ecosystem(e.g., S3, BigQuery, Databricks, EMR, Snowflake, etc.).
Proficiency in API developmentusingREST, GraphQL, or gRPCto serve real-time and batch data.
Experience with real-time and streaming data architectures(Kafka, Flink, Kinesis, etc.).
Strong knowledge ofdata modeling, ETL pipeline design, and performance optimization.
Understanding ofdata governance, security, and compliancein large-scale data environments.
Experience with Customer Data Platforms (CDP) or customer-centric data processingis a strong plus.
Strong problem-solving skills and ability to work incomplex, unstructured environments.
Excellent communication and collaboration skills, with experience working incross-functional teams.

Why Join Us?

Work with cutting-edgebig data, API, and cloud technologiesin a fast-paced, collaborative environment.
Influence and shape thefuture of data architecture and real-time data servicesat Target.
Solvehigh-impact business problemsusingscalable, low-latency data solutions.
Be part of a culture that valuesinnovation, learning, and growth.