Data Engineer at Keyrus responsible for building and optimizing data pipelines for major projects. Contributing to data solutions and ensuring data quality in a growing team.
Responsibilities
Design, develop and productionize reliable, high-performance data pipelines
Integrate structured and unstructured data, both batch and real-time
Deploy and optimize data environments on the Cloud (AWS, Azure, GCP)
Implement and orchestrate ETL/ELT processes (Talend, Airflow, dbt, Fivetran, etc.)
Work with modern platforms such as Databricks, Snowflake, BigQuery, Redshift
Ensure data quality, security, and governance
Keep up with emerging technologies and recommend the best solutions for each project
Requirements
You have strong proficiency in:
- Languages: Python and SQL (Scala or Java are a plus)
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