Data Engineer @

1 day ago

Remote, Czech Republic AVENGA (Agencja Pracy, nr KRAZ: 8448) Full time
  • Minimum experience of 5 years in a Data Engineer role
  • Advanced working SQL knowledge and experience working with relational databases, as well as familiarity with one or more cloud-based data warehouses such as Snowflake, Redshift, BigQuery
  • Knowledge of Python, Shell Script
  • Experience with Cloud: AWS or Azure
  • Experience with Data Modelling such as Kimball techniques
  • Experience with Data Warehouse Design
  • Experience with DBT (data build tool)
  • Experience with Pyspark
  • Experience with IaC tools such as Terraform, Cloudformation (nice to have)
  • Experience with source control, Continuous Integration, Delivery, and Deployment through CI Pipelines
  • Experience working with Airflow, Docker and CI/CD (preferably Gitlab)
  • Knowledge of Scrum, Kanban, or other agile frameworks (nice to have)
  • Fluency in English

As a Data Engineer, you will be responsible for building, maintaining, scaling, and integrating big data based platforms. You will also be working with the Data Science team in setting up and automating the Data Science models/algorithms for production use.

This is a fantastic opportunity for someone who is passionate about Data and is excited to use different tools to provide data insight for further analysis in driving business decisions.

,[Building and optimizing ETL / ELT data pipelines using Modern Data Stack tools, Implementing/supporting new data solutions in the data lake/warehouse built on the Snowflake, Developing and designing data pipelines using Python, Designing and implementing Continuous Integration/Continuous Deployment pipelines, Performing Data Modelling using downstream requirements, Developing transformation scripts using advanced SQL and DBT, Designing dimensional data models using the Kimball approach for the Data Warehouse, Writing test cases/scenarios to ensure incident-free production release, Collaborating closely with data analysts, BI and different domains such as Finance, risk, compliance, product and engineering to fulfil requirements., Performing data quality checks to ensure the quality of the data exposed to the end users, Building strong relationships with team, peers and stakeholders, Contributing to overall data platform implementation] Requirements: SQL, Snowflake, Cloud, CI/CD, Terraform, Python Tools: GitLab. Additionally: Sport subscription, Private healthcare, Small teams.

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