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Capgemini Engineering — вакансия в Middle/Senior Big Data Engineer #6419
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Middle/Senior Big Data Engineer #6419

Capgemini Engineering
4 года назад
07 мая 2019
Другие страны

PURPOSE OF THE JOB

As a Senior Big Data Engineer, you will work on one of the world largest marketplace, dealing with one billion events per day and contribute as part of R&D self-organized team working in a challenging, innovative environment for our Customer.

 

*Need to be able to travel at least for 3 months to USA/Berlin or willing to relocate to USA

 

MAIN TASKS AND RESPONSIBILITIES

  • Work proactively on the system architecture, choosing optimal solutions to build scalable and reliable systems to process key financial data.
  • Data processing system optimization and tuning
  • Establish a monitoring system
  • Ensure high-quality development standards (unit/integration tests, etc.)
  • Collaboration with the product management team to incorporate the needs of our customers.
  • Develop new generation big data pipelines, by migrating from batch processing into near-real-time architecture

 

EDUCATION, SKILLS AND EXPERIENCE

  • 1+ years of commercial Scala development (at least)
  • 5+ years of commercial JVM-based languages development experience
  • Several years of experience in big data technologies and tools.
  • ETL or Pipeline design/implementation with Large Distributed Databases (Hive/Spark/Scala preferred)
  • Hands-on experience with Spark, Kafka, HBase, NoSQL-Databases.
  • Pipeline stability and performance tuning
  • Working knowledge of relational databases and query authoring (SQL)
  • Familiarity with the AWS-Stack (AWS EMR).
  • Rigor in high code quality, automated testing, and other engineering best practices
  • Experience in data validation, sampling & regression tests
  • Good English (oral & written) and communication skills in general

 

WOULD BE A PLUS

  • Commercial experience with Real-time processing systems (Spark Streaming, Storm)
  • Design and development of robust distributed systems
  • Having experience working with AirFlow, Hive, Presto
  • Payment data processing or system design knowledge

 

LOHIKA BENEFITS

  • Friendly and highly professional teams
  • Modern office facilities (kitchens, gym, yoga, playroom, coffee and tea points etc.)
  • Regular (twice a year) performance reviews
  • Fully paid English classes with certified teachers and native speakers
  • Internal and external training
  • Paid sick-leaves
  • Premium health insurance (medication, massage, and doctor in the office etc.)
  • 20 working days of annual paid vacation
  • Christmas and other state holidays
  • Corporate events (corporate parties, sports competitions, What? Where? When? Team etc.)
  • Incentives (marriage, childbirth gifts)

 

Александр Масленко

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