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Middle/Senior Data Engineer Minsk, Belarus or Remote

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Middle/Senior Data Engineer Description

Job #: 57510
We are looking for an open-minded Middle/Senior Data Engineer with a healthy level of critical thinking to develop and maintain Data-Hub architecture within Google Cloud Platform. On this project, we are developing pipelines to build business-related data-products and design cloud-based platform solutions to support Data-Hub functionality.

Our customer is a multinational delivery services company, known for its overnight shipping service and pioneering a system that could track packages and provide real-time updates on package location.

We have several teams, which are performing the following activities:

• Building Dataflow pipelines to create data products on top of existing resources within Google Cloud infrastructure
• Performing data ingestion processes to include existing on-premise data sources into existing Data-Hub cloud-based platform
• Platform engineering, including cloud-based solutions to support Data-Hub architecture, such as Ingestion Frameworks, Platform Orchestrators, Exploratory environments etc.
• MLOps activities to build production-ready cloud-based solutions to support existing ML pipelines
• Migration of existing on-premise infrastructure to Google Cloud

What You’ll Do

  • Depending on the team you join, activities might differ but not limited to:
    • Designing and implementing data pipelines
    • Contributing to platform development
    • Taking part in the design of on-prem to cloud migration activities

What You Have

  • Solid experience in Java
  • Understanding of common Big-Data problems (splitability, massive parallel processing, load-balancing, data locality etc.) and related technologies (Apache Spark, Map-Reduce)
  • Familiarity with common data-related architectures such as Data-Hub/Data Lake is a big plus
  • Focusing on the result: educational activities, proof of concepts development, research tasks are mapped to a tangible result
  • Ability and desire to work in a team
  • Sharing the ideas of Brutal Intellectual Honesty
  • Acquaintance with with data-modeling: relational/dimensional data, SCD, snowflaking etc
  • Experience in cloud-based solutions, GCP, Terraform, Kubernetes is a big plus


  • Apache Beam (Java api)
  • Dataflow
  • BigQuery
  • Cloud Storage
  • Cloud Functions
  • Airflow
  • PubSub
  • Dataproc
  • Apache Kafk
  • Jenkins
  • Kubernetes with Google Kubernetes Engine
  • Terraform
  • Avro
  • Parquet

We offer

  • Outstanding career development opportunities
  • Knowledge-sharing with colleagues all around the world
  • Regular assessments and salary reviews
  • Competitive compensation
  • Social package – medical & family care
  • Friendly team and enjoyable working environment
  • Unlimited access to learning courses (LinkedIn learning, EPAM training courses, English regular classes, Internal Library)
  • Community of 36,700+ industry’s top professionals
  • Flexible working schedule
  • Corporate and social events
Learn more about EPAM in Belarus

Equal Employment Opportunity

EPAM Systems, Inc. is an equal opportunity employer.  We recognize the value of diversity and inclusion in creating success for our customers, business partners, shareholders, employees and communities. We are committed to recruiting, hiring, developing and promoting employees without discrimination. As a global employer, this commitment includes complying with all laws in the countries in which we operate. Nevertheless, we believe equal employment practices should not be limited to what the law requires. Equal opportunity and inclusion are essential to motivate, empower and recognize the best in everyone.

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