WFH careers for Healthcare Senior Big Data Engineer | EPAM Anywhere
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Senior Big Data Engineer for a Healthcare Company

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

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

The customer is an American multinational company working in the combined industries of health information technology and clinical research.

Responsibilities

  • Data transformation and warehousing
    • Analyze and correlate dataset to user profile
      • Create the required technical tasks in backlog and update status regularly
        • Provide Production Support for any issues raised by the Business and experience on Production/Integration release management
          • Recommend changes to client software based on information such as client feedback, language changes and new technology
            • developing Shell scripts to orchestrate execution of all other scripts and move the data files within and outside of HDFS
              • Participate in all Agile ceremony meetings and update task status and adhere to timelines and quality standards for the task
                • Working with business and peers to define, estimate, and deliver functionality

                  Requirements

                  • 3+ years of Big Data Engineering experience
                    • In-depth understanding/knowledge of Hadoop & Spark Architecture and its components such as HDFS, Job Tracker, Task Tracker, executor cores and memory parameters
                      • Experience in Hadoop development, working experience on SPARK, SCALA is mandatory and Database exposure is must
                        • Hands-on experience in Spark and Spark Streaming creating RDD's, applying operations -Transformation and Actions
                          • Experience in code optimize to fine tune the applications
                            • Expertise in writing Hadoop/spark Jobs for analyzing data using Spark, Scala, Hive, Kafka and Python
                              • Experience with streaming workflow operations
                                • Experience with developing large-scale distributed applications and developing solutions to analyze large data sets efficiently
                                  • Experience in Data Warehousing and ETL processes
                                    • Strong database, SQL, ETL and data analysis skills
                                      • Experienced in developing scripts for doing transformations using Scala
                                        • Experience in Using Kafka on publish-subscribe messaging as a distributed commit log, have experienced in its fast, scalable and durability
                                          • Able to understand existing business logic & implement the business changes
                                            • Should have gone through entire development life cycle including system integration testing
                                              • Right communication skills to be able to work with Business
                                                • Good logical reasoning, analytical abilities
                                                  • Experience working with remote teams
                                                    • Experienced in Agile development methodology

                                                      We offer

                                                      • Competitive compensation depending on experience and skills
                                                        • Work in enterprise-level projects on a long-term basis
                                                          • You will have a 100% remote full-time job
                                                            • Unlimited access to learning courses (EPAM training courses, English regular classes, Internal Library)
                                                              • Community of 38,000+ industry’s top professionals
                                                                Big DataScala
                                                                Python.Core
                                                                SQL

                                                                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