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We are currently looking for a remote Senior Big Data Engineer with 3+ years of experience in enterprise software development to join our team.

  • Design and implement innovative analytical solution using Hadoop, NoSQL and other Big Data related technologies
    • Work with product and engineering teams to understand requirements, evaluate new features and architecture to help drive decisions
      • Perform detailed analysis of business problems and technical environments
        • 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
              • Over 3 years of experience in enterprise software development
                • Solid background in BigData and distributed computing for 3+ years
                  • Experienced and highly self-motivated professional with outstanding analytical and problem solving skills
                    • Able to work closely with customers and other stakeholders
                      • Good experience in developing BigData, highly available, largely scalable applications and systems
                        • Able to play mentoring role on a project and ensure that solutions meet business requirements and expectations
                          • Experienced in working with modern Agile developing methodologies and tools
                            • Advanced experience in software development with Big Data technologies (e.g. administration, configuration management, monitoring, debugging and performance tuning)
                              • Engineering experience and practice in Data Management, Data Storage, Data Visualization, Disaster Recovery, Integration, Operation, Security
                                • Experience building data ingestion pipelines, Data Warehouse or Database architecture.
                                  • Experience with data modeling; hands-on development experience with modern Big Data components
                                    • Cloud: experience in designing, deploying and administering scalable, available and fault tolerant systems
                                      • Good understanding of CI/CD principles and best practices
                                        • Analytical approach to problem; excellent interpersonal, mentoring and communication skills
                                          • Data-oriented personality and possessing compliance awareness, such as PI, GDPR, HIPAA
                                            • Motivated, independent, efficient and able work under pressure with a solid sense for setting priorities
                                              • Ability to work in a fast-paced (startup like) agile development environment
                                                • Experience in high load and IoT Data Platform architectures and infrastructures
                                                  • Experience with Containers and Resource Management systems: Docker, Kubernetes, Yarn
                                                    • Experience in direct customer communications
                                                      • Solid skills in infrastructure troubleshooting, support and practical experience in performance tuning and optimization, bottleneck problem analysis
                                                        • Experienced in different business domains
                                                          • English proficiency
                                                            • Advanced understanding of distributed computing principles
                                                              • Programming Languages: Java, Scala, Python, SQL, Bash
                                                                • Big Data stack: Hadoop, Yarn, HDFS, MapReduce, Hive, Spark, Kafka, Flume, Sqoop, ZooKeeper
                                                                  • NoSQL: Cassandra/Hbase, MongoDB
                                                                    • Queues and Stream processing: Kafka Streams, Spark Streaming, Event Hub, IoT Hub, Storage Queues, Service Bus, Stream Analytics
                                                                      • Data Visualization: Tableau, QlikView
                                                                        • ETL & Streaming Pipelines: Pentaho, Talend, Apache Oozie, Airflow, NiFi, Streamsets
                                                                          • Operation: Cluster operation, Cluster planning
                                                                            • Search: Solr, Elasticsearch/ELK
                                                                              • InMemory: Ignite, Redis
                                                                                • Cloud (AWS/Azure/GCP): Storage, Compute, Networking, Identity and Security, NoSQL, RDBMS and Cubes, Big Data Processing, Queues and Stream Processing, Serverless. Data Analysis and Visualization, ML as a service (SageMaker, Tensorflow)
                                                                                  • Enterprise Design Patterns (ORM, Inversion of Control etc.)
                                                                                    • Development Methods (TDD, BDD, DDD)
                                                                                      • Version Control Systems (Git, SVN)
                                                                                        • Testing: Component/ Integration Testing, Unit testing (JUnit)
                                                                                          • Deep understanding of SQL queries, joins, stored procedures, relational schemas, SQL optimization
                                                                                            • Experience in various messaging systems, such as Kafka, RabbitMQ
                                                                                              • Rest, Thrift, GRPC, SOAP
                                                                                                • Build Systems: Maven, SBT, Ant, Gradle
                                                                                                  • Docker, Kubernetes, Yarn

                                                                                                    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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