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Data Engineer
3 months ago
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).Excellent communication, collaboration, and teamwork skills.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
