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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