GCP Cloud Data Engineer

We are actively seeking a highly skilled Senior Cloud Data Engineer with proven expertise in Google Cloud Platform (GCP) and mandatory hands-on experience with Cloudera, Hadoop, and Apache Airflow. Fluency in Italian and good command of English are essential for this role.

Responsibilities

• Design, implement, and optimize scalable data pipelines and architectures on GCP.

• Develop and tune complex SQL queries and data models in BigQuery, applying advanced techniques such as partitioning and clustering to optimize performance.

• Lead data workflow orchestration and automation using Apache Airflow (Composer).

• Work extensively with Cloudera and Hadoop (Spark/Dataproc) ecosystems to process and analyze large datasets.

• Apply best practices in data warehousing, data lakes, and cloud data governance.

• Collaborate with cross-functional teams to deliver high-quality, scalable data solutions aligned with business needs.

• Maintain code quality and version control standards using Git.

Requirements

• Minimum 4 years of hands-on experience as a Data Engineer, with at least 2 years dedicated to Google Cloud Platform data services.

• Proven, hands-on experience with Cloudera, Hadoop and Apache Airflow — these are mandatory.

• Advanced proficiency in SQL, including schema design and query optimization for large datasets.

• Deep expertise in BigQuery, including performance tuning and advanced SQL.

• Experience with at least one GCP data processing service: Dataflow (Apache Beam), Dataproc (Apache Spark/Hadoop), or Composer (Apache Airflow).

• Proficiency in at least one programming language such as Python, Java, or Scala for data pipeline development.

• Strong understanding of data warehousing and data lake concepts and best practices.

• Experience with version control tools, preferably Git.

• Certifications: Professional Cloud Architect or Professional Data Engineer.

• Language skills: Fluent in Italian, Good command of English (minimum B2 level).

Nice to have

• Experience with CI/CD pipelines and automated deployment for data engineering workflows.

• Familiarity with cloud security, data privacy, and compliance standards.

We offer

• Fully remote work with flexible working hours.

• Long-term collaboration on B2B contract.

• Opportunity to work on complex cloud projects for international clients.

• Professional growth in a highly skilled and supportive team.

• Collaborative and open working culture.

  
  

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