About the project

• 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.

Your 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.

Our 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).

Optional

• Experience with CI/CD pipelines and automated deployment for data engineering workflows.
• Familiarity with cloud security, data privacy, and compliance standards.

Technologies we use

This is how we work on a project

• Continuous Deployment

• Continuous Integration

• DevOps

What 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.