Senior Data Engineer leading architectural definitions and evolution of data ecosystem in GCP. Ensuring data ingestion security and developing robust pipelines for data integration.
Responsibilities
Lead technical definitions and the architectural evolution of the data ecosystem on the GCP platform.
Ensure scalability, security, and governance in data ingestion and data provisioning processes.
Develop robust pipelines to integrate multiple sources, ensuring data quality and reliability.
Propose continuous improvements in performance, monitoring, and process automation.
Act as a technical reference, supporting strategic decisions and guiding teams on best practices.
Contribute to innovation initiatives, including the use of AI and the creation of new data products aligned with business needs.
Requirements
Strong experience as a Data Engineer with a proven track record in complex projects.
Extensive experience in large-scale data ingestion, transformation, and integration projects.
Advanced proficiency in Python for developing pipelines and automations.
Expertise in Google Cloud Platform (GCP), including BigQuery, Cloud Storage, Dataflow, and Pub/Sub.
Proficiency in SQL for optimized queries and data modeling.
Advanced experience with orchestration and distributed processing tools such as Airflow, Kafka, and Cloud Functions.
Knowledge of Vertex AI and applications of Artificial Intelligence in data pipelines.
Familiarity with NoSQL databases (e.g., Firestore, MongoDB).
Experience with SAP ECC or S/4HANA data models.
Experience with visualization tools (preferably Power BI) to support analyses.
Previous involvement in defining scalable architectures and performance-oriented solutions.
Experience with Agile methodologies (Scrum, Lean, Kanban).
Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, or related fields.
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