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senior data engineer (databricks and aws)

Data Software Engineering, Amazon Web Services, Databricks, Python, Apache Airflow, Apache Spark, Scala

We are looking for a remote Senior Data Engineer to join our project. The candidate should have expert-level skills in AWS and Databricks, as well as extensive knowledge of Big Data technologies such as Spark, Python, Airflow, and Scala/Java. The candidate should have excellent communication skills and be able to work independently as well as in a team of professionals.

  • Work closely with Business Analysts and data analysts to understand requirements
  • Automate data ingestion processes and pre-processing
  • Enhance data sets by creating automated match rules
  • Develop ETL transformations for data from various data sources
  • Report activities through agreed project tools and timely report about risks/issues/dependencies
  • Minimum of 3 years of experience in Data Software Engineering
  • Extensive knowledge of AWS and Databricks
  • Expert-level skills in Python, Airflow and Spark
  • Experience working with unstructured files and creating automated match rules
  • Strong problem-solving skills and the ability to work independently or in a team
  • Good written and verbal communication skills in English (B2+)
nice to have
  • Knowledge of Scala

benefits for locations

For you
  • Discounts on health insurance, sport clubs, shopping centers, cinema tickets, etc.
  • Stable income
  • Flexible roles
For your comfortable work
  • 100% remote work forever
  • EPAM hardware
  • EPAM software licenses
  • Access to offices and co-workings
  • Stable workload
  • Relocation opportunities
  • Flexible engagement models
For your growth
  • Free trainings for technical and soft skills
  • Free access to LinkedIn Learning platform
  • Language courses
  • Free access to internal and external e-Libraries
  • Certification opportunities
  • Skill advisory service
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