
1 - 10 employees
Founded 2015
🤝 B2B
🎯 Recruiter
B2B • Consulting • Recruitment
Chisei Analytics Ltd. is a recruitment and consulting company based in London, specializing in Agile methodologies and the integration of artificial intelligence into business processes. They offer services including recruitment of top Agile professionals, Agile consulting to enhance business agility, and world-class training programs such as SAFe certification for various roles in the software development and project management fields. Chisei Analytics aims to help organizations become more impactful and customer-focused in the technology-driven landscape.
🕒 March 31
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1 - 10 employees
Founded 2015
🤝 B2B
🎯 Recruiter
B2B • Consulting • Recruitment
Chisei Analytics Ltd. is a recruitment and consulting company based in London, specializing in Agile methodologies and the integration of artificial intelligence into business processes. They offer services including recruitment of top Agile professionals, Agile consulting to enhance business agility, and world-class training programs such as SAFe certification for various roles in the software development and project management fields. Chisei Analytics aims to help organizations become more impactful and customer-focused in the technology-driven landscape.
• Develop and optimize big data applications using Apache Spark • Collaborate with banking client to fulfill project requirements • Debug and tune Spark jobs to improve performance • Ensure applications align with the configuration standards and requirements • Write efficient and scalable applications in Scala
• Candidate must have 2+ years of experience with Apache Spark and Scala • Candidate must have very good hands on experience with Apache Spark, Spark performance tuning • Should be expert in Debugging the Spark jobs via Spark UI • Should have good understanding of Spark memory management and different Spark configurations • Must have used Scala for writing Spark applications • Must have good hands on experience with Scala • Good to have experience with BDD or TDD approach
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