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Data engineer (l'aquila)

L'Aquila
Bitrock
Pubblicato il 25 febbraio
Descrizione

Who we areBitrock is a high-end consulting and system integration company, strongly committed to offering cutting-edge and innovative solutions. Our tailored consulting services enable our clients to preserve the value of legacy investments while migrating to more efficient systems and infrastructure. We take a holistic approach to technology: we consider each system in its totality, as a set of interconnected elements that work together to meet business needs.We thrive on overcoming challenges to help our clients reach their goals, by supporting them in the following areas: Data, AI & ML Engineering; Back-end Engineering, Platform Engineering, Front-end Engineering, Product Design & UX Engineering, Mobile App Development, Quality Assurance, FinOps, GovernanceThe effectiveness our solutions also stems from partnerships with key technology vendors, like HashiCorp, Confluent, Lightbend, Databricks, and Meterian. Who we are looking forWe are looking for a skilled and motivated Data Engineer - Freelance to join our team at Bitrock. You will be supporting a data platform migration project for a client operating in the fintech / wealth management sector, working autonomously on a well-defined scope that combines backend data pipeline work with frontend dashboard replication.The ideal candidate is a hands-on Data Engineer with an eye for analytics, able to both build robust data pipelines and ensure the accuracy of business-facing dashboards. Experience working with dbt, Amazon Redshift, and BI tools is essential. Key ResponsibilitiesData Pipeline EngineeringSQL Transformation: Reverse-engineer and replicate complex BigQuery SQL logic within the existing dbt project on RedshiftIngestion: Leverage the MongoDB to Redshift connector to ingest raw data, ensuring reliability and completenessData Quality: Validate migrated data against source systems with full numerical reconciliationDocumentation: Maintain well-structured metadata for all final tables, following the

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