Lead Data Engineer job opportunity at Target.

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DateMore Than 30 Days Ago bot
Target Lead Data Engineer
Experience: 7-years
Pattern: full-time
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loacation Tower 02, Manyata Embassy Business Park, Racenahali & Nagawara Villages. Outer Ring Rd, Bangalore 540065, India
loacation Tower 02, Many..........India

About us: Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture.   Learn more about Target here . About the Role: 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 .

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