Lead Engineer - Target India

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 hasnt 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 Targets global team and has more than 4,000 team members supporting the companys 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 Targets investments in technology and innovation. Were 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 guestsand we do so with a focus on diversity and inclusion, experimentation and continuous learning. Position Overview:
As a Lead Data Engineer, you will serve as the
technical anchor for the engineering team, responsible for designing and developing
scalable, high-performance data solutions. You will
own and drive data architecture that supports both functional and non-functional business needs, ensuring
reliability, efficiency, and scalability.Your expertise in
big data technologies, distributed systems, and cloud platforms will help shape the engineering roadmap and best practices for
data processing, analytics, and real-time data serving. You will play a key role in
architecting and optimizing data pipelines using
Hadoop, Spark, Scala/Java, and cloud technologies to support enterprise-wide data initiatives.Additionally,
experience with API development for serving low-latency data and
Customer Data Platforms (CDP) will be a strong plus.
Key Responsibilities:

Architect and build scalable, high-performance data pipelines and
distributed data processing solutions using
Hadoop, Spark, Scala/Java, and cloud platforms (AWS/GCP/Azure).

Design and implement real-time and batch data processing solutions, ensuring data is efficiently processed and made available for analytical and operational use.

Develop APIs and data services to expose
low-latency, high-throughput data for downstream applications, enabling real-time decision-making.

Optimize and enhance data models, workflows, and processing frameworks to improve performance, scalability, and cost-efficiency.

Drive data governance, security, and compliance best practices.

Collaborate with data scientists, product teams, and business stakeholders to understand requirements and deliver
data-driven solutions.

Lead the design, implementation, and lifecycle management of data services and solutions.

Stay up to date with emerging technologies and drive adoption of best practices in
big data engineering, cloud computing, and API development.

Provide technical leadership and mentorship to engineering teams, promoting best practices in
data engineering and API design.

About You:

7+ years of experience in data engineering, software development, or distributed systems.

Expertise in big data technologies such as
Hadoop, 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 their
data ecosystem (e.g., S3, BigQuery, Databricks, EMR, Snowflake, etc.).

Proficiency in API development using
REST, GraphQL, or gRPC to serve real-time and batch data.

Experience with real-time and streaming data architectures (Kafka, Flink, Kinesis, etc.).

Strong knowledge of data modeling, ETL pipeline design, and performance optimization.

Understanding of data governance, security, and compliance in large-scale data environments.

Experience with Customer Data Platforms (CDP) or customer-centric data processing is a strong plus.

Strong problem-solving skills and ability to work in complex, unstructured environments.

Excellent communication and collaboration skills, with experience working in cross-functional teams.

Why Join Us

Work with cutting-edge big data, API, and cloud technologies in a fast-paced, collaborative environment.

Influence and shape the future of data architecture and real-time data services at Target.

Solve high-impact business problems using
scalable, low-latency data solutions.

Be part of a culture that values innovation, learning, and growth.

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/belonging