Data Science Engineer
7 days ago
Overview
">- Design and develop high-performance data processing pipelines using big data technologies such as Hadoop, Spark, and Hive.
- Develop and maintain large-scale data storage systems using NoSQL databases such as HBase, MongoDB, or Cassandra.
- Work with distributed messaging systems such as Apache Kafka and caching systems like Redis or Memcache.
- Collaborate with cross-functional teams to design and implement data-driven solutions that meet business requirements.
Requirements
">- 4+ years of experience in big data engineering, including Hadoop, Spark, and Hive.
- Proficiency in Java programming, Spring Framework, and Springboot.
- Strong understanding of functional programming concepts, including Scala and Python.
- Experience with multithreading and distributed application development.
- Good to have: UI skills (Angular/React JS), knowledge of RDBMS (preferably MySQL), and familiarity with CI/CD tools.
What We Offer
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