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senior data engineer

AWS Simple Storage Service (S3), Amazon Web Services, SQL
Armenia, Georgia, Kazakhstan, Uzbekistan

Currently, we are looking for a remote Senior Data Engineer to join our global team.

The customer is an online travel agency and metasearch engine that helps book airline tickets, hotel reservations, car rentals, cruise ships, and vacation packages.

  • Develop and support ETL pipelines written in Python and SQL (+HiveQL) and orchestrated by a 3rd party tool
    • Build all data layers (landing, staging, warehouse, datamarts) in S3, Qubole Hive and AWS Redshift
      • Collaborate with report developer to deliver dashboards in time and compliance with business requirements
        • Analyze business requirements and make technical decisions to drive the development process
          • Negotiate with customers on requirements and technical restrictions
            • Be a development stream coordinator (consult junior team member, monitor progress and troubleshoot issues)
              • Be a proactive developer who can provide expertise on technical and business matter
                • 3+ years of experience as Data Engineer
                  • Knowledge of Python (intermediate)
                    • Knowledge of OOP, decorators
                      • ETL/ELT development experience, preferably with Python
                        • SQL Knowledge (intermediate+)
                          • Experience with Data warehousing (Kimball)
                            • Experience with AWS services (S3, Redshift, EC2)
                              • Self-driven, self-coordinating
                                • No supervisor needed
                                  • Able to drive development process of small team
                                    • Able to negotiate and collaborate with customers, drive discussion
                                      nice to have
                                      • Knowledge of AWS Elastic Beanstalk
                                        • Knowledge of AWS Simple Notification Service
                                          • Knowledge of AWS Simple Queue Service
                                            • Knowledge of Amazon Redshift
                                              • Knowledge of Java
                                                • Knowledge of Python.Core
                                                  • Knowledge of Spring Boot
                                                    • REST API data source understanding
                                                      • HiveQL experience
                                                        • Experience building DW architecture in Hive cluster or MPP database
                                                          • Tableau or general reporting experience

                                                            benefits for locations


                                                            For you

                                                            • Medical insurance package for you and your family
                                                            • Stable income
                                                            • Paid sick leave days

                                                            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, soft, and leadership skills
                                                            • Access to LinkedIn Learning platform
                                                            • Language courses
                                                            • Access to internal and external e-Libraries
                                                            • Certification opportunities
                                                            • Skill advisory service
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