Proficiency in Functional Programming: High proficiency in Java, SQL and Spark skill.
Proficiency in Big Data Technologies: Strong experience with Apache Spark, Hadoop ecosystem tools such as Hive, HDFS, and YARN.
Programming and Scripting: Advanced knowledge of Java or Scala and a good understanding of Python for data engineering tasks.
Data Modeling and ETL Processes: Solid understanding of data modeling principles and ETL processes in big data environments.
Analytical and Problem-Solving Skills: Strong ability to analyze and solve performance issues in Spark jobs and distributed systems.
Version Control and CI/CD: Familiarity with Git, Jenkins, and other CI/CD tools for automating the deployment of big data applications.
Preferred skills
Experience of development and using test automation frameworks is a big plus
Understanding of microservice architecture and microservices best practices and patterns, preferably using Spring Boot
Experience with containerization – building images and running containers
Understanding the concept of dependency injection, experience with DI frameworks (Spring, Guice, Dagger2, etc.)
Experience with Message Brokers (Apache Kafka, Solace, RabbitMQ, etc.)
Education
Bachelor’s/University degree or equivalent experience
Job Family Group
Technology
Job Family
Applications Development
Time Type
Full time
- Most Relevant Skills
- Please see the requirements listed above.
- Other Relevant Skills
- For complementary skills, please see above and/or contact the recruiter.
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