Data Engineer

hace 1 semana

Catalonia, España Torry Harris Integration Solutions A tiempo completo

Job Summary: 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 Science Data Warehousing / BI Certification a plus Advanced in SQL 5+ Experience working with at least two of the top ETL tools: DBT, PWC, ODI, Datastage, DBT (mandatory) 3+ years working with cloud environments AWS, Azure 3+ years working with Apache Airflow 5+ years working in an IT function 5+ years of BI development, analyst, data modelling, and support experience 5+ years of Relational Database Oracle, SQL Server, or 5+ years of Columnar Database Redshift 3+ years of Spark, Glue, EMR 3+ Experience in scalable python development, (PySpark, Spark SQL) 2+ Experience working with at least two of the top BI tools: Tableau, Qlik, OBIEE Flexible to adapt and quickly (willing to) learning different technologies. Other Requirements English C1 Ability to cooperate and work in multicultural environment Communication and teaching oriented, knowledge transfer ability. Multi-tasking ability – handling multiple activities in parallel Organized and structured Be updated on Scrum methodology Proactive, flexible, result-driven, with a "can do" attitude, attention to detail, problem-solving Scope of Services: Data Pipeline Development Build and maintain data pipelines to extract, transform, and load (ETL) data from various sources. Data Quality & Reliability Implement data quality checks and validation processes. Ensure data accuracy, consistency, and reliability across systems. System Optimization & Performance Optimize data systems for performance, scalability, and reliability. Troubleshoot and resolve data-related issues and system problems. Collaboration & Requirements Gathering Work closely with data scientists, analysts, architects, and other stakeholders to understand data requirements and deliver appropriate solutions. Continuous Learning & Innovation Stay up to date with emerging trends and technologies in data engineering. Explore advancements in predictive and prescriptive modelling to drive continuous improvement.

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