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Senior Big Data Developer

EPAM Systems - view profile

  • Promoted
  • 100% Remote
March 16
  • Poland
  • Senior
  • ASAP
  • Full-time
  • Contract of Employment, B2B contract
  • English (B2)
  • 100% remote
EPAM Systems
15 500 - 20 000 PLN
gross / month (employment)
Apply now
  • Company size
    250+
https://www.epam.com/
EPAM Systems delivers, fully functional, transformative software solutions that drive business including Financial Services, Software, Hi-Tech, and Media Entertainment. Join a diverse community that will help you discover your fullest potential.

Job description

We are looking for Senior Big Data Developer with at last 4 years of commercial experience to join our growing Data Practice and make our team even stronger. Projects and technologies we are working with are very different and cover all technologies which present currently on the market and represented by open source communities.

We are providing our service to Clients in different domains: Financial, Health Care, Insurance and many others, so you will have a chance to develop yourself in any direction you want.

You can join one of our offices, which are located in Warsaw, Krakow, Wroclaw, Katowice and Gdansk or work remotely. The remote option applies only to the Candidates who will be working from any location in Poland.



Nice to have

  • Kafka

Responsibilities

  • Data ingestion from different data sources which exposes data using different technologies, such as: RDBMS, REST HTTP API, flat files, Streams, Time series data, SAP and a lot other based on various proprietary systems. You will need to research and implement data ingestion with help of Big Data technologies
  • Data processing/transformation using various technologies such as Spark and Cloud Services. You will need to understand your part business logic and implement it using any language which supported by base data platform


Requirements and qualifications

  • Advanced knowledge of one of the languages: Java or Scala or Python
  • Production experience with one or more of the following tools: Hadoop, Spark, Kafka, Oozie, Airflow, HDFS, YARN,
  • Experience with one of the cloud platfroms: Azure, Google Cloud Platform, Amazon Web Services, Cloudera (or any other) HADOOP distribution, Databricks


Benefits

  • Home office possible
  • Employment Contract or B2B, depending on your preferences

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