Note: We are looking for Immediate Joiner/ Max 30 days Notice period ( Mode of interview: will be F2F - Face 2 Face )

Job Description
Wipro is looking for an experienced Big Data Engineer to join our product development team. The ideal
candidate will have strong expertise in building modern, scalable big data applications using functional
programming and distributed data processing technologies. You will work closely with cross-functional
teams to design, develop, and optimize data-driven solutions that power enterprise-scale platforms.
Key Responsibilities
Design, develop, and maintain scalable big data applications in a software product development
environment.
Build and optimize data processing pipelines using Hadoop ecosystem technologies.
Develop high-performance applications using functional programming principles, preferably in
Scala.
Work extensively with Apache Spark for batch and streaming data processing.
Develop and consume RESTful web services using Java, Scala, Python, or similar languages.
Collaborate with data scientists and ML engineers to support information retrieval and machine
learning use cases.
Work with both SQL and NoSQL databases for data storage, querying, and optimization.
Ensure high availability, performance, and scalability of data platforms.
Participate in design discussions, code reviews, and performance tuning.
Adhere to Wipro’s engineering best practices, security standards, and quality processes.
 

Required Skills & Qualifications
6+ years of experience in a software product development organization building modern, scalable
big data applications.
Strong expertise in functional programming, preferably Scala.
Hands-on experience with Hadoop technologies, including:
Apache Spark/ YARN/ HDFS/ Oozie/ HiveExperience implementing RESTful web services in Java, Scala, Python, or similar languages.
Solid experience with SQL and NoSQL databases.
Exposure to information retrieval systems and machine learning concepts.
Strong problem-solving skills and ability to work in a fast-paced environment.
 

Good to Have
Experience with Spark Streaming, Kafka, or other streaming frameworks.
Knowledge of cloud-based big data platforms.
Exposure to CI/CD pipelines and DevOps practices.
Prior experience working in large-scale enterprise or product-based environments.

Education

Any Graduate