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    Data Engineer - Vilnius, Lietuva - Oxylabs

    Oxylabs
    Oxylabs Vilnius, Lietuva

    Rasta: beBee S2 LT - prieš 4 dienas

    Oxylabs background
    Visą darbo dieną
    Aprašymas

    We are a market-leading web intelligence collection platform, providing premium proxies and data scraping solutions for large-scale public web data gathering. Today, we unite over 450 data industry professionals for one purpose: to create a future where all businesses have access to big data and business intelligence, and a work environment where everyone can grow and thrive.

    Here's how our Data Team describes this position:

    If you joined this team, you would be solving our clients' most ambitious challenges - as we are reaching towards being one of the first data extraction services

    We value people hungry for knowledge and eager to apply it, and in return, we provide a constantly evolving environment rich with challenges that we solve with the latest technologies and greatest ideas. We have a seat ready for you

    Your day-to-day:

  • Work with challenging tasks to maintain data that helps our clients gain insights on various aspects of our system.
  • Work on our data platform to enable building and delivering large datasets to final clients.
  • Collaborate with the back-end team to ensure smooth data pipelines and processing.
  • Work with data extraction services and build tools for it.
  • Build data models and implement necessary modifications.
  • Understand big data processing principles.
  • Design, implement, manage, test, monitor, and optimize our data platforms to meet the data pipeline needs.
  • Identify incomplete data, improve the quality of data, and integrate data from several data sources.Your skills & experience:
  • Experience building data pipelines using cloud service providers such as Amazon Web Services (AWS), Microsoft Azure or Google Cloud Platform (GCP).
  • Strong experience using any of the cloud providers. We use GCP ideally would like GCP but AWS and Azure would be also valid.
  • Experience with Apache Spark and/or its Python libraries.
  • Knowledge of ETL/ELT pipeline design for semi-structured data (both batch and real-time), development and maintenance using SQL and/or Python.
  • Experience with SQL and NoSQL approaches to database design for evolving schemas, preferably in context of a large data lake or data warehouse (e.g. Google Cloud Storage/Google BigQuery), optimized for either storage or retrieval.
  • Experience setting up and maintaining scheduled data processing orchestration (e.g. Airflow, Dagster).
  • Experience developing and maintaining the infrastructure and tools around the data pipeline is highly desirable (e.g. managing AWS resources via Terraform, setting up CI/CD, maintaining a Kubernetes cluster).
    NICE TO HAVE:
  • Experience working with dbt and Great Expectations is a plus.
  • Experience working with or implementing Data Catalogs is a plus.
  • Experience with REST API development is a plus.
  • Experience with any of the messaging systems (such as Pub/Sub, RabbitMQ, AWS Kinesis or Apache Kafka) is a plus.
    Don't hesitate to apply even if you missed some of the criteria

    Salary:

  • Gross salary EUR/month. Keep in mind that we are open to discuss a different salary based on your skills and competences.

    Up for the challenge? Let's talk

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