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junior big data engineer for a banking and financial services corporation

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Sorry the job is no longer available.

We are currently looking for a remote Big Data Engineer with 6+ months of experience in Java to join our team.

The customer is a Singaporean multinational banking and financial services corporation operating across 18 markets.

responsibilities
  • Play a developer role
    • Write high quality and testable code following clean code principles
      • Implement functionality by following defined software development process without direct supervision
        • Read and understand project and requirement documentation
          • Create documentation describing his/her code
            • Participate in Agile Scrum activities: daily standup, demo session, retrospective, planning, etc.
              requirements
              • Polytechnic Diploma or above in Computer Science
                • 6+ months of experience in software engineering and Big Data
                  • Advanced knowledge at least one programming language such as Java, Python, Scala
                    • Familiar with SQL, Bash
                      • Experienced in any of big data technologies and frameworks: Spark, Spark Streaming, Kafka/ Kafka Streams, Hadoop, Yarn, HDFS, Hive, Airflow, Jupyter
                        • Experience with Parquet, ORC, AVRO, CarbonData
                          • Experience with Lambda, Kappa, Data Lake
                            • Experience with NoSQL Data Bases
                              • Experience with Data platform
                                • Experience with Machine learning
                                  • Experience in IT mostly with JVM based technologies and frameworks
                                    • Background with different platforms and strong focus on back-ends / Big Data / Analytics Solutions
                                      • Core professional expertise includes Platform Architecture, Data Pipelines Architecture, Infrastructure Deployment and Management
                                        • Able to support existing and potential customers with requirements capture, solutions architecture, system design, solution prototyping
                                          • Experience with building traditional Cloud Data Warehouses, Data Lakes. Close and intensive work on previous projects with Containers and Resource Management systems: Docker, Kubernetes, Yarn
                                            • Designed, prototype and adjust end to end solution
                                              • Designed and implemented set of ingestion workflow to parse, transform and validate input data
                                                • English B2 and above (speaking and writing)

                                                  These jobs are for you

                                                  benefits for locations

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                                                  For you
                                                  • Voluntary health insurance for you (100% covered) and your family (with corporate discount)
                                                  • Individual sessions with professional psychologists and coaches
                                                  • Free corporate sports and wellness programs
                                                  • Stable income
                                                  • Paid time off
                                                  For your comfortable work
                                                  • 100% remote work forever
                                                  • Free licensed software
                                                  • Possibility to work on your own device (BYOD)
                                                  • Stable workload
                                                  • Relocation opportunities
                                                  • Flexible engagement models
                                                    For your growth
                                                    • Free trainings for technical and soft skills
                                                    • Access to LinkedIn Learning platform
                                                    • Language courses
                                                    • Access to internal and external e-Libraries
                                                    • Certification opportunities
                                                    • Skill advisory service
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