Big Data Solution Architect – REMOTE

What you will do
Development of proposals for implementation and design of scalable big data architecture Participation in customer’s workshops and presentation of the proposed solution Design, implement, and deploy high-performance, custom applications at scale on Hadoop Define and develop network infrastructure solutions to enable partners and clients to scale NoSQL and relational database architecture for growing demands and traffic Define common business and development processes, platform and tools usage for data acquisition, storage, transformation, and analysis Develop roadmaps and implementation strategy around data science initiatives including recommendation engines, predictive modeling, and machine learning Review and audit of existing solution, design and system architecture Perform profiling, troubleshooting of existing solutions Create technical documentation
Requirements
Strong knowledge of programming and scripting languages such as Java, Python, or Scala Participation in designing, development, or maintenance of a distributed application Experience with major Big Data technologies and frameworks including but not limited to Hadoop, MapReduce, Apache Spark, Hive, Kafka, Apache Flink, Flume, ZooKeeper, HBase, MongoDB, and Cassandra Experience with Big Data solutions developed in large cloud computing infrastructures such as Amazon Web Services, Azure Cloud, or Google Cloud Experience in client-driven large-scale implementation projects Data Science and Analytics experience is a plus (Machine Learning, Recommendation Engines, Search Personalization, Deep Learning) Technical team leading and team management experience, deep understanding of Agile (Scrum), RUP programming process Strong experience in applications design, development, and maintenance Solid knowledge of design patterns, refactoring concepts, unit tests, and CI/CD Practical expertise in performance tuning and optimization, bottleneck problems analysis Solid technical expertise & troubleshooting skills Possess expertise in Object-Oriented Analysis and Design Bachelor’s degree, or equivalent in Software Engineer, Computer Science or closely related field Fluent oral and written English Ability to travel up to 50%

Culture

Work/Life Balance

Innovation

Big Data / Emerging Technologies 

Requirements:
Strong knowledge of programming and scripting languages such as Java, Python, or Scala Participation in designing, development, or maintenance of a distributed application Experience with major Big Data technologies and frameworks including but not limited to Hadoop, MapReduce, Apache Spark, Hive, Kafka, Apache Flink, Flume, ZooKeeper, HBase, MongoDB, and Cassandra Experience with Big Data solutions developed in large cloud computing infrastructures such as Amazon Web Services, Azure Cloud, or Google Cloud Experience in client-driven large-scale implementation projects Data Science and Analytics experience is a plus (Machine Learning, Recommendation Engines, Search Personalization, Deep Learning) Technical team leading and team management experience, deep understanding of Agile (Scrum), RUP programming process Strong experience in applications design, development, and maintenance Solid knowledge of design patterns, refactoring concepts, unit tests, and CI/CD