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Big Data Engineer for a Financial Services Company

Big Data Engineer for a Financial Services Company 40 hrs/week, 12+ months
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Sorry, the job is expired

We are currently looking for a remote Big Data Engineer with a solid background in Big Data and distributed computing for 6+ months, good understanding of CI/CD principles and best practices and experience building data ingestion pipelines to join our team.

The customer is an American company operating a worldwide online payments system that supports online money transfers and serves as an electronic alternative to traditional paper methods like checks and money orders.

Responsibilities

  • Activities: data engineering, building data pipelines, migrating legacy code to new platform. Work with product and engineering teams to understand requirements, evaluate new features and architecture to help drive decisions
    • Build collaborative partnerships with architects, technical leads and key individuals within other functional groups
      • Perform detailed analysis of business problems and technical environments and use this in designing quality technical solution
        • Actively participate in code review and test solutions to ensure it meets best practice specifications
          • Build and foster a high-performance engineering culture, mentor team members and provide team with the tools and motivation
            • Write project documentation

              Requirements

              • Solid background in Big Data and distributed computing for 6+ months
                • Experienced and highly self-motivated professional with outstanding analytical and problem-solving skills
                  • Good experience in developing Big Data, highly available, largely scalable applications and systems
                    • Experienced in working with modern Agile developing methodologies and tools
                      • Experience building data ingestion pipelines, Data Warehouse or Database architecture
                        • Experience with data modeling; hands-on development experience with modern Big Data components
                          • Good understanding of CI/CD principles and best practices
                            • Java experience
                              • Experience with Spark
                                • Experience with AWS, S3, EC2, EMR
                                  • Experience in direct customer communications

                                    Nice to have

                                    • Python experience
                                      • Athena knowledge
                                        • Experience with Terraform
                                          • Ruby (ability to read code)

                                            Benefits in eligible 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
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                                            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
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                                              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

                                                40 hrs/week

                                                Hours per week

                                                12+ months

                                                Project length

                                                Belarus, Russia, Ukraine

                                                Locations eligible for the position