Senior GCP Data Engineer, AS

• Design, develop, and maintain data pipelines using GCP services like Dataflow, Dataproc, and Pub/Sub.
• Develop and implement data ingestion and transformation processes using tools like Apache Beam and Apache Spark.
• Manage and optimize data storage solutions on GCP, including Big Query, Cloud Storage, and Cloud SQL.
• Implement data security and access controls using GCP's Identity and Access Management (IAM) and Cloud Security Command Center.
• Monitor and troubleshoot data pipelines and storage solutions using GCP's Stackdriver and Cloud Monitoring tools.
• Collaborate with data experts, analysts, and product teams to understand data needs and deliver effective solutions.
• Automate data processing tasks using scripting languages like Python.
• Participate in code reviews and contribute to establishing best practices for data engineering on GCP.
• Stay up to date on the latest advancements and innovations in GCP services and technologies.

Your skills and experience

• 5+ years of experience as a Data Engineer or similar role.
• Proven expertise in designing, developing, and deploying data pipelines.
• In-depth knowledge of Google Cloud Platform (GCP) and its core data services (GCS, BigQuery, Cloud Storage, Dataflow, etc.).
• Strong proficiency in Python & SQL for data manipulation and querying.
• Experience with distributed data processing frameworks like Apache Beam or Apache Spark (a plus).
• Familiarity with data security and access control principles.
• Excellent communication, collaboration, and problem-solving skills.
• Ability to work independently, manage multiple projects, and meet deadlines
• Knowledge of Sustainable Finance / ESG Risk / CSRD / Regulatory Reporting will be a plus
• Knowledge of cloud infrastructure and data governance best practices will be a plus.
• Knowledge of Terraform will be a plus