Provectus — международная R&D компания, предоставляющая полный комплекс услуг по разработке программного обеспечения для корпоративного сегмента, мобильных платформ и WEB по всему миру.
21 апреля 2017

Big Data Architect


Необходимые навыки

● 5+ years of experience with object oriented programming language such as Java, and scripting languages such as Python
● Experience with big data and distributed NoSql technologies such as Spark, Hbase or Map-reduce
● 3+ years of experience designing and implementing large, scalable distributed systems
● 3+ years of production experience designing and implementing mission critical and metrics-driven ETL’s
● Experience with AKKA-based webservice is a plus
● Strong in algorithms and CS fundamentals


Five-day work-week within young and energetic team
Medical insurance and paid medical leave
Paid vacation
English language training
Professional seminars and trainings, Expert Days
Corporate social events
Comfortable office in the city center
Free tea/coffee/sugar/cookies/milk


● Responsible for designing, implementing, and maintaining LeadGenius’s big data pipeline infrastructure — including data ingestions, stream processing, data warehousing, data pipelines, visualization, quality metrics and exposing data to applications
● Data modeling and metadata management
● Ensure scalable, highly available, and robust big data platform architecture to meet service level agreements
● End-to-end data processing, troubleshooting, problem diagnosis, performance benchmark, load balance, and code reviews.
● Building large-scale infrastructural data systems using open-source technologies
● Designing high-performance RESTful web services to expose data from SQL and NoSql
● Cross team collaboration and effective communication

О проекте

Provectus looking for Big Data Platform Engineer for our new client

LeadGenius is looking for a seasoned data/algorithm engineer who has experience building and maintaining large scale ETL’s and data warehousing to build the next generation mission critical data platform. If you are comfortable with swimming in Petabytes of data to define quality metrics, explore trending and to write scalable code for data pipelines, come talk to us.

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