Software developer sql server
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We are looking for one of our client for a talented Data Engineer is looking for a Data Engineer with hands-on experience in modern data engineering, distributed systems, lakehouse architectures, and cloud environments.
Para una comprensión completa de esta oportunidad y de lo que se requerirá para ser un candidato exitoso, siga leyendo.
This is a hybrid role in Barcelona, working on scalable data platforms and modern data solutions.
Develop and operate robust batch and streaming data pipelines for reporting, analytics, and machine learning
Ensure data quality, security, governance, and scalability across data platforms
Monitor and troubleshoot data infrastructure and contribute to CI/CD and DevOps practices
Work in agile, interdisciplinary teams with Data Scientists, Data Engineers, Product Owners, and specialist departments
Hands-on experience in Data Engineering, distributed data processing, and cloud environments
Strong experience with Apache Spark, Databricks, Apache Airflow, and Kubernetes
Experience with Python, Scala, or Java and SQL
Experience with batch xqbhyrx and streaming technologies, ideally Kafka, Flink, or Confluent
Knowledge of GCP, Azure, BigQuery, GCS, Azure Blob Storage, or Databricks Unity Catalog
Understanding of RBAC/CBAC, data governance, CI/CD, and DevOps
Experience with tools such as Azure DevOps, GitLab, JFrog Artifactory, SonarQube, or Snyk is a plus
Hybrid
Para una comprensión completa de esta oportunidad y de lo que se requerirá para ser un candidato exitoso, siga leyendo.
This is a hybrid role in Barcelona, working on scalable data platforms and modern data solutions.
Develop and operate robust batch and streaming data pipelines for reporting, analytics, and machine learning
Ensure data quality, security, governance, and scalability across data platforms
Monitor and troubleshoot data infrastructure and contribute to CI/CD and DevOps practices
Work in agile, interdisciplinary teams with Data Scientists, Data Engineers, Product Owners, and specialist departments
Hands-on experience in Data Engineering, distributed data processing, and cloud environments
Strong experience with Apache Spark, Databricks, Apache Airflow, and Kubernetes
Experience with Python, Scala, or Java and SQL
Experience with batch xqbhyrx and streaming technologies, ideally Kafka, Flink, or Confluent
Knowledge of GCP, Azure, BigQuery, GCS, Azure Blob Storage, or Databricks Unity Catalog
Understanding of RBAC/CBAC, data governance, CI/CD, and DevOps
Experience with tools such as Azure DevOps, GitLab, JFrog Artifactory, SonarQube, or Snyk is a plus
Hybrid