Middle Big Data Engineer Offline

Responsibilities:

-Backend Python development or Scala

-Implementing DWH or Data Lake architecture

-Implementing ETL process, workload with data streaming

-Monitoring performance

Requirements:

-Python experience (3+ years or Scala 2+ years) and ANCI SQL 2+ years (any RDBMS)

-Understand problems with distributed algorithms and data structures

-Understand and handle multiprocessing, concurrency and parallelism

-Linux user

-ETL (Hive or Spark SQL or Impala or NoSQL DB or NiFi) or streaming experience (Kafka or Spark Streaming or Akka or Flume or RabbitMQ or JMS)

-Experience with DWH or Data Lakes

-Experience with any NoSQL databases (HBase, Mongo, Cassandra, etc.)

-Readiness for intensive self-education as a must

Desirable:

-Experience with one of AWS, GCP, Azure

-Comfortable with travel when needed

What's in it for you:

-Close cooperation with different clients

-Dynamic and challenging tasks

-Team of professionals: learn from colleagues and gain recognition of your skills

-Low bureaucracy, European management style

-Trainings

-Knowledge sharing meetings