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Data Engineer with BigQuery, Real Time Warehouse Platform

  • Almaty
  • Astana
  • Belgrade
  • Cluj-Napoca
  • Dnipro
  • Kharkiv
  • Krakow
  • Kyiv
  • Larnaca
  • Lodz
  • Lublin
  • Lviv
  • Odesa
  • Remote.Bulgaria
  • Remote.Georgia
  • Remote.Kazakhstan
  • Remote.Poland
  • Riga
  • Sofia
  • Tbilisi
  • Varna
  • Warsaw
  • Wroclaw
  • Yerevan
Medium team (10-20 people)

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Project overview

We are building a modern data warehousing platform that supports both real time and batch analytical workflows. The project focuses on designing scalable data pipelines, implementing a medallion architecture, and enabling seamless collaboration across data engineering, analytics, and data science teams.

Team

You will collaborate with a cross functional team of data engineers, data scientists, and analysts. The team follows an open communication style, uses Agile practices, and works closely to define data requirements and deliver scalable solutions.

Position overview

We are looking for a Data Engineer who will design, develop, and optimize data pipelines and warehouse layers on Google BigQuery. You will work with real time streaming, batch processing, and MLflow based workflows while ensuring data quality, reliability, and performance across all components of the platform.

Technology stack

Google BigQuery, Google Cloud Pub/Sub, Apache Beam, Dataflow, Cloud Composer, Apache Airflow, Python, SQL, MLflow, Terraform, Great Expectations, dbt tests

Responsibilities

  • Plan, develop, and maintain ETL and ELT pipelines across Bronze, Silver, and Gold layers
  • Implement the medallion architecture with a focus on data lineage and quality
  • Build and optimize real time data streaming pipelines using Pub/Sub and Apache Beam on Dataflow
  • Create and orchestrate batch workflows using Cloud Composer and Apache Airflow
  • Write performant and cost efficient BigQuery SQL using partitioning, clustering, and query optimization
  • Collaborate with analysts and data scientists to understand data needs and deliver reliable solutions
  • Prepare and maintain technical documentation, data dictionaries, and monitoring dashboards

Requirements

  • 4 years of Data Engineering experience
  • 3 or more years of experience designing and building cloud based ETL and ELT pipelines
  • Hands on experience with data modeling including dimensional modeling and schema design
  • Experience working with real time streaming architectures and event driven data processing
  • Proficiency in SQL and at least one programming language such as Python, Java, or Scala
  • Experience with Google Cloud Pub/Sub for message driven ingestion
  • Practical experience building Apache Beam pipelines on Google Cloud Dataflow
  • Experience with workflow orchestration in Cloud Composer or Apache Airflow
  • Hands on experience with optimizing BigQuery SQL, partitioning, clustering, resource usage, and cost management

Nice to have

  • Experience using BigQuery ML for model creation and deployment
  • Foundational understanding of machine learning workflows and feature engineering
  • Experience with Terraform for infrastructure provisioning
  • Familiarity with data quality frameworks such as Great Expectations or dbt tests
  • Google Cloud Professional Data Engineer certification

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We offer

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Vacation

As per the laws of your country. We do ask you to take a proper rest

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Health insurance

We help you to take out an insurance policy for you and your loved ones

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Sick pay

10 days without a doctor's note, afterwards - as per the laws of your country

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Time off for state holidays

According to the official calendar, regardless of the client’s schedule

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Pleasant environment

Two large corporate parties and many small get-togethers for colleagues

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Comfort service

Solving technical and everyday problems at work

The benefits package may vary depending on the region and the type of contract
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