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The Azure Data Engineer will design and develop ETL processes and manage data migrations to the Azure cloud platform. The role requires 3-6 years of experience and proficiency in Python, PySpark, and Azure Data Factory.
The Data Engineer will build and maintain scalable data pipelines and architectures using Python, Databricks, Snowflake, SQL, Spark, and Hadoop. This role involves collaborating with global teams on high-impact data and analytics projects.
Metyis is a global firm delivering Big Data, Digital Commerce, Marketing & Design solutions and advisory services. Por favor, asegúrese de leer atentamente los siguientes detalles antes de enviar cualquier…
The Data Engineer will work on a banking sector project focusing on reporting and ServiceNow integration. The role is 100% remote with occasional on-site requirements in Madrid.
Bluetab, an IBM Company. certificados ¡Great Place to Work & Best Work to Place! como una de las mejores compañías para trabajar. Es posible que un gran número de candidatos se presenten a este puesto, así que…
Build AI-powered data pipelines and analytics tools to optimize player experience and game growth for a mobile gaming studio.
Manning Global is seeking a Data Engineer to build scalable web applications and manage data pipelines using Java, Spring Boot, Vue.js, and GCP-based technologies. The role involves designing data architectures, writing processing logic in Scala, and automating workflows with Talend.
Builds and maintains ETL pipelines with Pentaho to integrate, transform, and validate data for a Madrid-based engineering team.
Build and maintain robust data pipelines in AWS or Azure using PySpark and Python, ensuring high performance and reliability while collaborating with Data and AI teams.
The Data Engineer will build and maintain data pipelines using Python, PySpark, and AWS services in an Agile environment. The role requires proficiency in both Spanish and English.
Senior Data Engineer builds and maintains large-scale AWS data pipelines for an insurance client using Python, Snowflake/Databricks, and ETL/ELT workflows.
The Data Engineer will design and build scalable ETL/ELT pipelines for large-scale customer and financial data migrations using SQL, Python, and AWS. The role focuses on ensuring data quality, reconciliation, and security while collaborating with stakeholders to deliver enterprise-level data solutions.
Desde Agap2 estamos buscando incorporar un perfil de Data Engineer – Data Products con experiencia en construcción de pipelines de datos y Big Data, orientado a la creación de productos de datos y a la puesta en…
Builds and maintains scalable data pipelines and AI-enabled features using Python, Databricks/Spark, and Azure to power business software.
Designs, builds, and optimizes dbt and Snowflake data pipelines to migrate Oracle systems and support customer analytics.
Build and optimize large-scale data pipelines on AWS using PySpark, Kafka, and Spark Streaming to process and transform high-volume datasets.
Builds scalable GCP data pipelines and collaborates on web apps to deliver reliable data solutions for clients.
Builds and maintains data pipelines for ingestion/transformation using AWS, S3, Redshift, and BI tools to turn raw data into actionable insights for business teams.
Designs and maintains Spark/Scala-based data pipelines and platforms, migrating Hadoop workloads to cloud while ensuring data quality and performance for BNP Paribas Personal Finance’s global data products.
Designs and maintains scalable, secure cloud data pipelines and lakes to ensure reliable data for data-driven projects, collaborating with data scientists.
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