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Solution Architect (Big Data) Remote

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Solution Architect (Big Data) Description

Job #: 50969
Striving for excellence is in our DNA. Since 1993, we have been helping the world’s leading companies imagine, design, engineer, and deliver software and digital experiences that change the world. We are more than just specialists, we are experts.

DESCRIPTION


A remote Solution Architect is needed. This position is a part of our new EPAM Anywhere program for remote workers. EPAM Anywhere offers a variety of IT jobs for remote workers. Join us to work on ambitious and long-term projects, get a stable workload, and enjoy a work-life balance!

Project technologies and tools

  • Programming Languages: Java/ Scala/ Python; SQL; Bash
  • Big Data fundamentals
  • Big Data stack: Hadoop, Yarn, HDFS, MapReduce, Hive, Spark, Kafka, Flume, Sqoop, Zookeper
  • NoSQL: Cassandra, Hbase with superstructures (Phoenix/Tephra, Kylin), MongoDB
  • Stream processing: Kafka Streams / Spark Streaming
  • Background in traditional data warehouse and business intelligence stacks (ETL, MPP Databases, Tableau, Microsoft Power BI, SAP Business Objects)
  • Data Visualization: Power BI, Tableau, QlikView
  • Operation: Cluster operation, Cluster planning
  • Flow Management: Apache Oozie, Informatica Big Data, Talend, Airflow
  • Search: Solr, Elasticsearch/ELK
  • InMemory: Ignite, Redis
  • Cloud (at least on provider: AWS/Azure/GCP): Storage; Compute; Networking; Identity and Security; NoSQL; RDBMS and Cubes; Big Data Processing; Queues and Stream Processing; Serverless
  • Architecture concepts: Application Design; Integration Design; Layered Architecture; Synthesis of Solutions; Architecture Bugs evaluations

Requirements

  • Solution Architect with more than 7 years’ of enterprise IT experience, has background with different platforms and strong focus on back-ends / high-load / real-time / Big Data / IoT / Cloud / Analytics Solutions
  • Core professional expertise includes: Platform Architecture, Data Pipelines Architecture, Infrastructure Deployment and Management, Security
  • Able to support existing and potential customers with security requirements capture, solutions architecture, system design and technical project management related to Big Data solutions along with Cloud infrastructure design and development
  • Capable to ramp-up Big Data teams, lead & supervise Big Data platforms design and development from requirements gathering to production support phases
  • Driven towards success by a thirst for knowledge, staying expert in enterprise Data technology field
  • Strong ‘hands-on’ experience as a Data Architect with design/development background with Java, Scala, or Python
  • Architecture experience and practice in Data Management, Data Storage, Data Visualization, Disaster Recovery, Integration, Operation and Security
  • Experience with building traditional Cloud Data Warehouses, Data Lakes
  • Knowledge of high load and IoT Data Platform architectures and infrastructures
  • Wide experience in analysis, design, implementation, deployment as well as troubleshooting and rebuilding distributed Linux based platforms and Big Data solutions on premises and in Cloud
  • Strong Cloud experience in at least one of the Cloud providers (AWS, Azure, GCP)
  • Solid experience in continuous delivery tools and technologies
  • Broad experience with Containers and Resource Management systems: Docker, Mesos, Kubernetes/OpenShift, Yarn
  • Able to deliver Data Analytics projects and architecture guidelines
  • Strong in research, comparison and selection of tools / technologies / approaches to be used
  • Practical experience in performance tuning and optimization, bottleneck problem analysis
  • Strong communication skills, experienced in team coordination skills and solution implementation supervision
  • Good in Agile development methodology, Scrum in particular
  • Solid skills in business analysis, network/stack architecture, troubleshooting, support
  • Fluent English

We offer

  • Competitive compensation depending on experience and skills
  • Work in enterprise-level projects on a long-term basis
  • Full-time remote work (you can work from anywhere you are)
  • Unlimited access to learning courses (LinkedIn learning, EPAM training courses, English regular classes, Internal Library)
  • Community of 36,700+ industry’s top professionals

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