Software Developer- SQL
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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. This is a hybrid role in Barcelona, working on scalable data platforms and modern data solutions.
Puede obtener más detalles sobre la naturaleza de esta vacante y lo que se espera de los solicitantes leyendo la información a continuación.
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
4+ years 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 and streaming xqbhyrx technologies, ideally Kafka, Flink, or Confluent
~ Knowledge xqysrnh 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
Puede obtener más detalles sobre la naturaleza de esta vacante y lo que se espera de los solicitantes leyendo la información a continuación.
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
4+ years 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 and streaming xqbhyrx technologies, ideally Kafka, Flink, or Confluent
~ Knowledge xqysrnh 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