مهندس بيانات BigQuery / SQL / Python / GCP
تفاصيل الوظيفة
In this role, your main responsibilities will be: Designing and developing robust and automated data pipelines. Collecting and integrating data from various sources. Designing and maintaining ETL/ELT processes. Developing and optimizing SQL/BigQuery queries. Structuring datasets and models for BI and analytics. Designing, developing, and maintaining Power Automate workflows. Developing processes and automations in Python. Ensuring data quality, availability, and traceability. Monitoring pipelines and resolving data processing incidents. Optimizing BigQuery/GCP performance and costs. Implementing best practices for data security and access management. Collaborate closely with Data Analysts and business teams to provide reliable and easily usable datasets in Power BI. Document the architectures, flows and processes developed.
Desired Candidate Profile
Master's degree (Bac+5) required. Rigorous, autonomous, with the ability to solve technical problems, an interest in optimization and automation, strong communication skills, and the ability to work with both technical and functional profiles. Experience: 1-3 years. Skills: Essential: Strong SQL skills. Practical experience with Google Cloud Platform (GCP). Strong BigQuery skills. Proficiency in Python applied to data processing and automation. Good knowledge of Power Automate for workflow design and automation. Understanding of data architectures and ETL/ELT principles. Minimum 3 years of experience in Data Engineering or similar roles. Desirable: Experience with certain GCP services such as Cloud Storage, Cloud Functions/Cloud Run, Pub/Sub, Dataflow, or Composer. Knowledge of partitioning, clustering, and BigQuery query optimization issues. Experience with APIs and various data ingestion methods. Knowledge of Git and CI/CD. Knowledge of Power BI is appreciated to understand the needs of the reporting layer. Understanding of Data Governance, IAM, and GCP security. Knowledge of the Microsoft Power Platform ecosystem, particularly Power Apps, Power BI, and Dataverse.
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