Senior Data Engineer

Empresa: UST
Provincia: 100% En remoto
Población: 
Descripción: We are still looking for the very Top Talent...and we would be delighted if you were to join our team! More in details, UST is a multinational company based in North America, certified as a Top Employer company with over 35.000 employees all over the world and presence in more than 35 countries. We are leaders on digital technology services, and we provide large-scale technologic solutions to big companies. What are we looking for? We are looking for a Data Engineer with strong experience in data migrations, SQL, Python, ETL/ELT pipelines, and AWS, capable of delivering secure, high-quality, and fully reconciled data solutions. Experience with large-scale customer and financial data migrations is essential. This is a 100% remote position based in Spain.   Required experience and skills • Strong SQL skills across data profiling, complex transformation, reconciliation, performance analysis and relational modelling. • Strong Python or comparable data-engineering experience for repeatable pipeline and validation development. • Experience delivering large enterprise data migrations involving customer, contract, financial or transactional data. • Hands-on experience with ETL/ELT patterns, staging models, restartability, error handling, auditability and controlled reprocessing. • Experience defining and automating data-quality checks, reconciliation controls and migration evidence. • Working knowledge of cloud data services and object storage, preferably in AWS. • Experience with Git, CI/CD, environment promotion and automated testing for data pipelines. • Understanding of privacy, security, retention and access-control requirements for customer and financial data. • Ability to collaborate with business owners, architects, developers and testers to resolve ambiguous or poor-quality legacy data. • Strong written and spoken English and the discipline to maintain clear technical and operational documentation. Key responsibilities • Profile source platforms and document data inventories, ownership, lineage, quality risks, retention constraints and extraction approaches. • Design source-to-target mappings and transformation rules for customer, account, contract, product, tariff, premise or supply point, meter, read or usage, bill, payment, balance, debt, interaction and reference data. • Build parameterised ETL/ELT pipelines for extraction, cleansing, standardisation, transformation, validation, loading and replay. • Implement data-quality controls for completeness, validity, uniqueness, referential integrity, effective dating, sequencing and cross-domain consistency. • Create reconciliation frameworks using record counts, control totals, financial balances, sampled journeys and exception reports across source, staging, target and downstream systems. • Partner with Business Analysts and utility SMEs to define remediation rules, ownership and acceptable tolerances for legacy-data issues. • Sup...
Tecnologías: Snowflake, AWS, ETL
Tipo de Contrato: Indefinido
Salario: Sin especificar
Experiencia: 3 años
Funciones: Big Data
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