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middle big data engineer for commercial banking company

Big Data, Apache Spark, Python, SQL, Amazon Web Services, Kubernetes
Sorry the job is no longer available.

Currently, we are looking for a remote Middle Big Data Engineer to join our team.

  • To help implement development process inside the team
    • Work closely with DevOps team in order to improve CI/CD tools and processes continuously
      • Help QA auto team to work using “In Sprint testing” approach
        • Improve and develop architecture of the solution together with Solution Architect
          • Design, develop and support each layer of ETL solution: extract the data from the various data sources (for example different databases, cloud services, data files, FTP, XML, text files and so on), consolidate and clean up the data
            • Analyze source data and wrap it with some metadata, do data transformations (as data type conversion, standardization of data), load it to Data Warehouse in the faster manner and reporting about data load results/issues
              • Design, develop, support and improvement of DWH model
                • Read, analyze and digest what a business wants to accomplish with its data, and design the best possible ETL process around those goals
                  • 2+ years of relevant experience
                    • Strong team leader, experience in leading development team for big data projects
                      • Good understanding and implementation of software development lifecycle and methodologies such as Agile / Waterfall
                        • CI tools integrations experience: Sonar, artifactory, GitLab etc
                          • Experience in Unit and integration testing for components
                            • Understanding of good EngX practices and experience in implementation and establishing development process
                              • Good communication skills, ability to communicate with customer without supervision for requirements clarification, discussion daily activities and issues
                                • Hands on experience, expert in Spark, Python, SQL, Aiflow
                                  • Understanding of main Architecture concepts for data platforms based on cloud

                                    These jobs are for you

                                    benefits for locations

                                    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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