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senior big data engineer

Data Software Engineering, Amazon Web Services, Python, Apache Spark, Databricks, Data Architecture, SQL, Redis

We are looking for a Senior Big Data Engineer to join our team and help us create and adjust analytics data pipelines. The ideal candidate should have hands-on experience in Cloud computing on AWS, developing scripts using Python and developing ETL processes whilst displaying a strong understanding of query execution plans and query optimization.

  • Develop analytics data pipelines
  • Develop ETL processes and scripts in Python for data integration, from multiple sources
  • Optimize and tune both SQL and NoSQL queries to ensure efficient and seamless data processing and delivery across our data pipelines
  • Develop and maintain data architecture standards, principles, and models for efficient data integration and management
  • Effectively communicate with stakeholders to understand business needs and translate them into technical requirements
  • 2+ years of experience in Cloud computing on AWS
  • Experience with Spark
  • Knowledge of Databricks
  • 2+ years of experience in developing scripts using Python
  • Strong knowledge and expertise with SQL and NoSQL Databases
  • Experience with Data architecture

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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