Vacancy Description
Requirements
- You'll bring strong software engineering fundamentals to a data-heavy domain, writing maintainable code, owning systems end-to-end and improving how we collect, model and activate data across the organisation
- Experience building, designing, refactoring or optimising data lakes and data warehouses from a variety of data sources using data modelling techniques
- Experience in Building Extract Transform and Load (ETL) pipeline (streaming / batch) using MPP frameworks (Spark, Beam or other)
- Experience in orchestrating complex pipelines using Airflow, Dagster or other
- Proficiency in one or more programming languages: Python, Java, GO or other
- Experience with AWS or GCP and their products (S3, GCS, Kinesis, Pub/Sub, Lambda/Cloud functions, DataProc)
- Experience with one of the main databases for analytics (Redshift, BigQuery, Snowflake or other)
- (Desirable) Experience modelling and transform...
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