Scala/Spark Developer
1 month ago
We are seeking a highly skilled Scala/Spark Developer to join our team at Monster. As a key member of our data engineering team, you will be responsible for designing and developing big data platforms using Scala and Spark.
Key Responsibilities:
- Design and develop big data platforms using Scala and Spark
- Develop expertise in data engineering and data processing technologies
- Hands-on experience in design and development of big data platforms
- Deep understanding of modern data processing technology stacks, including Spark, HBase, Hive, and other Hadoop ecosystem technologies
- Development using Scala, with a focus on streaming data architectures and technologies for real-time and low-latency data processing
- Experience with agile development methods, including core values, guiding principles, and key agile practices
- Understanding of the theory and application of Continuous Integration/Delivery
- Experience with NoSQL technologies, including column family, graph, document, and key-value data storage technologies
- Passion for software craftsmanship
Requirements:
- 5+ years of experience in data engineering and data processing technologies
- Expertise in Scala and Spark, with a focus on big data platforms
- Hands-on experience in design and development of big data platforms
- Deep understanding of modern data processing technology stacks, including Spark, HBase, Hive, and other Hadoop ecosystem technologies
- Development using Scala, with a focus on streaming data architectures and technologies for real-time and low-latency data processing
- Experience with agile development methods, including core values, guiding principles, and key agile practices
- Understanding of the theory and application of Continuous Integration/Delivery
- Experience with NoSQL technologies, including column family, graph, document, and key-value data storage technologies
Preferred Qualifications:
- Experience in the financial industry
- Spark/Spark Streaming hands-on experience
- In-depth understanding of Spark Internals, Spark configuration, Spark Memory Management, and Scala
What We Offer:
- A competitive salary and benefits package
- A dynamic and supportive work environment
- Opportunities for professional growth and development
How to Apply:
Please submit your resume and a cover letter outlining your experience and qualifications for this role. We thank all applicants for their interest; however, only those selected for an interview will be contacted.
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