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middle big data engineer for a banking and financial services corporation

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Big DataJava, Python.Core, Scala, SQL, Management, Docker, Kubernetes
bullets
India
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Sorry, the job is expired

We are currently looking for a remote Middle Big Data Engineer with 2+ years 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
                • 2+ years 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)

                                                  benefits for locations

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                                                  For you

                                                  • Insurance Coverage 
                                                  • Paid Leaves – including maternity, bereavement, paternity, and special COVID-19 leaves. 
                                                  • Financial assistance for medical crisis 
                                                  • Retiral Benefits – VPF and NPS 
                                                  • Customized Mindfulness and Wellness programs 
                                                  • EPAM Hobby Clubs

                                                  For your comfortable work

                                                  • Hybrid Work Model 
                                                  • Soft loans to set up workspace at home 
                                                  • Stable workload 
                                                  • Relocation opportunities with ‘EPAM without Borders’ program

                                                  For your growth

                                                  • Certification trainings for technical and soft skills 
                                                  • Access to unlimited LinkedIn Learning platform 
                                                  • Access to internal learning programs set up by world class trainers 
                                                  • Community networking and idea creation platforms 
                                                  • Mentorship programs 
                                                  • Self-driven career progression tool

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