Computer Software Senior Big Data Software Engineer | EPAM Anywhere
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Senior Big Data Software Engineer for a Computer Software Company

Senior Big Data Software Engineer for a Computer Software Company 40 hrs/week, 12+ months

We are currently looking for a remote Senior Big Data Software Engineer with 5+ years of relevant experience in Big Data engineering area to join our team.

The customer is a provider of software as a service and cloud-based remote connectivity services for collaboration, IT management and customer engagement. The company's products give users and administrators access to remote computers.

Responsibilities

  • Apply broad knowledge of technology options, technology platforms, design techniques and approaches across the data warehouse lifecycle phases to design an integrated quality solution that address requirements
    • Ensure completeness and compatibility of the technical infrastructure required to support system performance, availability and architecture requirements
      • Design and plan for the integration for all data warehouse technical components
        • Provide input and recommendations on technical issues to the team
          • Develop implementation and operation support plans
            • Provide data design, data extracts and transforms
              • Build robust and scalable data integration (ETL) pipelines using AWS Services, EMR, Python, Pig and Spark
                • Mentor and develop other junior data engineers
                  • Contribute to the high-quality data architecture to support business analysts, data scientists and customer reporting needs
                    • Interface with other technology teams to extract, transform, and load data from a wide variety of data sources

                      Requirements

                      • 5+ years of experience in writing complex, highly optimized SQL queries across large data sets
                        • Bachelor's degree in Computer Science
                          • 5+ years of relevant experience in Big Data engineering area
                            • Skills in data modeling, ETL development and data warehousing
                              • Skills with AWS services, including S3, EMR, Kinesis and RDS
                                • Knowledge of big data stack of technologies, including Hadoop, HDFS, Hive, Spark, Pig, Presto
                                  • Experience with using Airflow, creating and maintaining DAGs, Operators and Hooks
                                    • Knowledge of distributed systems as it pertains to data storage and computing
                                      • Good problem solving and analytical skills
                                        • Knowledge of software engineering best practices across the development lifecycle, including Agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
                                          • English level - B1

                                            Nice to have

                                            • Master’s degree in Computer Science

                                              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