Scala + Spark
3 hours ago
Job Title: Scala + Spark Developer Big Data Applications
Location: Hyderabad (Work from Office)
Experience: 5 to 9 Years
Notice Period: Immediate to 30 Days
Employment Type: Full-Time
About the Role
We are seeking an experienced Scala + Spark Developer to join our data engineering team in Hyderabad.
The ideal candidate will have strong hands-on experience with Big Data technologies, functional programming in Scala, and data processing frameworks like Spark.
You'll be responsible for designing and developing highly scalable, distributed data processing applications that power business insights and advanced analytics.
Key Responsibilities
- Design, develop, and optimize Big Data applications using Scala and Apache Spark.
- Implement and manage data processing workflows using Hadoop ecosystem tools — YARN, HDFS, Hive, Oozie.
- Build and maintain RESTful APIs and services in Scala, Java, or Python.
- Work with large-scale data sets, ensuring performance and reliability.
- Integrate and process data from NoSQL and SQL databases efficiently.
- Contribute to the architecture and design of scalable and fault-tolerant data pipelines.
- Work closely with data scientists on information retrieval and machine learning workflows.
- Ensure high standards of code quality, testing, and CI/CD integration.
Key Qualifications
- 5+ years of experience in software product development, with focus on Big Data systems.
- Expertise in Scala (functional programming concepts).
- Hands-on experience with Apache Spark for large-scale data processing.
- Proficient in Hadoop technologies – YARN, HDFS, Hive, Oozie.
- Strong understanding of RESTful API development in Scala, Java, or Python.
- Experience working with NoSQL (e.g., Cassandra, MongoDB) and SQL databases.
- Exposure to information retrieval and machine learning techniques.
- Solid understanding of distributed systems, data modeling, and performance optimization.
Why Join Us?
- Work with cutting-edge Big Data and ML technologies.
- Be part of a high-performance team solving complex data engineering challenges.
- Opportunity to grow in a fast-paced, innovative environment.
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