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Big Data Solution Architect

Data Software Engineering, Scala, Python.Core, Big Data, Apache Spark, Apache Hadoop, Spark Streaming, Amazon Web Services, Microsoft Azure
Bangalore, Hyderabad, Pune, Chennai, Gurgaon

We are looking for Solution Architects for data-driven projects to join our Data Practice team in India. Together we design and drive lots of solutions that generate value from data, taking advantage of scalable platforms, cutting-edge technologies, and machine learning algorithms. We provide a solid architecture framework, educational programs, and a strong SA community to support our new Architects in a deep dive into the data domain.

  • Design data analytics solutions by utilising the big data technology stack
    • Create and present solution architecture documents with deep technical details
      • Work closely with business in identifying solution requirements and key case-studies/scenarios for future solutions
        • Conduct solution architecture review/audit, calculate and present ROI
          • Lead implementation of the solutions from establishing project requirements and goals to solution "go-live"
            • Participate in the full cycle of pre-sale activities: direct communications with customers, RFP processing, the development of proposals for implementation and design of the solution, presentation for proposed solution architecture to the customer and participate in technical meetings with customer representatives
              • Create and follow personal education plan in the technology stack and solution architecture
                • Maintain a strong understanding of industry trends and best practices
                  • Get involved in engaging new clients to further drive EPAM business in the big data space
                    • Should have minimum experience of 12+ yrs
                      • Strong ‘hands-on’ experience as a Big Data Architect with a solid design/development background with Java, Scala, or Python
                        • Experience delivering data analytics projects and architecture guidelines
                          • Experience in big data solutions on premises and on the cloud (Amazon Web Services, Microsoft Azure, Google Cloud)
                            • Production project experience in at least one of the big data technologies
                              • Batch processing: Hadoop and MapReduce/Spark/Hive
                                • NoSQL databases: Cassandra/HBase/Accumulo/Kudu
                                  • Knowledge of Agile development methodology, Scrum in particular
                                    • Experience in direct customer communications and pre-selling business-consulting engagements to clients within large enterprise environments
                                      • Experience working within a consulting business and pre-sales experience would be highly attractive


                                        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