EPAM Systems

Data Engineer (Databricks, AWS)

Job description


Description

Currently, we are looking for Data Engineer to make our team even stronger.

Responsibilities

  • Gather business requirements, analyze them, join the dots using data and drive the implementation
  • Design, develop, monitor and visualize Customer Data Access Overhaul data product
  • Integrate high-quality datasets for analytical use-cases
  • Support in designing incident management process
  • Enable other data teams to follow our client's standards
  • Testing (preparation and execution)
  • Operations of data pipelines incl. alerting, bug fixing, etc


Requirements

  • 3+ years hands-on experience in Databricks or similar
  • 3+ years hands-on experience in MicroStrategy
  • Strong skills in data visualisation and data modelling
  • Good understanding of ETL concepts
  • Apache Spark, PySpark and Python, SQL
  • AWS Glue + Amazon S3
  • GitHub + CI/CD
  • Upper-Intermediate level of English, both spoken and written (B2+)


Nice to have

  • Advanced Databricks skills like delta, cluster configuration or Databricks APIs
  • Experience in new technologies like BigQuery, Airflow, Redshift or Apache NiFi


We Offer

  • Competitive compensation depending on experience and skills
  • Variety of projects within one company
  • Being a part of a project following engineering excellence standards
  • Individual career path and professional growth opportunities
  • Internal events and communities
  • Flexible work hours
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