Data Engineer

We are seeking someone who can assist in establishing an infrastructure foundation on the Google Cloud Platform (GCP) and migrating the current legacy data lake to a manageable, scalable, and secure data lake in the cloud.
This data lake should provide the necessary data analytics capabilities to meet our growing needs.
We require assistance in assessing, designing, planning, and migrating the existing on-premise or cloud data lake to Google BigQuery.Work model:
100% remoteMethodology:
AgileProject duration:
06.2024 - 11.2024, extension possibleMain responsibilities:
Assess the current system including Flows, Data pipelines, Schemas and reports.
Focus on the following areas:
Data Governance leading practices, definitions, guidelines, process, and recommendations for products available in GCP:
Data Catalog, Data Lineage, Data Quality, Data Masking, Data Classification Datasets and analytics infrastructure Database and application technology Extract, transform and load (ETL) or extract, load, and transform (ELT) workloads Job orchestration and scheduling needs Tooling supply plan (including supporting end of life) Plans for continuous integration between applications Business units and other teams using data solutions As - is technical state for the areas analysed above Desired future - state for data transformation, data lake, or data analytics Main requirements:
Bachelor's degree in business, computer science, or a related field Experience in below technologies (minimum 3 years) BigQuery Data Flow SQL Python Experience in migration data warehouses to BigQuery English - C1 Our offer:
B2B via Experis MultiSport Plus PZU group insurance Medicover e-learning platform Opis Firmy
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