Data Engineer

hace 4 días


Huelva, España Torry Harris Integration Solutions A tiempo completo

Job Summary:¿Le interesa este puesto? Puede encontrar toda la información relevante en la descripción a continuación.A Data Engineer is responsible for designing, building, and maintaining large-scale data systems that enable data-driven decision-making.They work with various stakeholders to understand data requirements, data architectures, and implement data pipelines to support business intelligence, analytics, and data science initiatives.Required Experience:Bachelor’s Degree in MIS/Engineering/Computer ScienceData Warehousing / BI Certification a plusAdvanced in SQL5+ Experience working with at least two of the top ETL tools: DBT, PWC, ODI, Datastage, DBT (mandatory)3+ years working with cloud environments AWS, Azure3+ years working with Apache Airflow5+ years working in an IT function5+ years of BI development, analyst, data modelling, and support experience5+ years of Relational Database Oracle, SQL Server,or5+ years of Columnar Database Redshift3+ years of Spark, Glue, EMR3+ Experience in scalable python development, (PySpark, Spark SQL)2+ Experience working with at least two of the top BI tools: Tableau, Qlik, OBIEEFlexible to adapt and quickly (willing to) learning different technologies.Other RequirementsEnglish C1Ability to cooperate and work in multicultural environmentCommunication and teaching oriented, knowledge transfer ability.Multi-tasking ability – handling multiple activities in parallelOrganized and structuredBe updated on Scrum methodologyProactive, flexible, result-driven, with a “can do” attitude, attention to detail, problem-solvingScope of Services:Data Pipeline DevelopmentBuild and maintain data pipelines to extract, transform, and load (ETL) data from various sources.Data Quality & ReliabilityImplement data quality checks and validation processes.Ensure data accuracy, consistency, and reliability across systems.System Optimization & PerformanceOptimize data systems for performance, scalability, and reliability.Troubleshoot and resolve data-related issues and system problems.Collaboration & Requirements GatheringWork closely with data scientists, analysts, architects, and other stakeholders to understand data requirements and deliver appropriate solutions.Continuous Learning & InnovationStay up to date with emerging trends and technologies in data engineering. xsgfvud Explore advancements in predictive and prescriptive modelling to drive continuous improvement.


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