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À propos
The ideal candidate is an expert in design and implementation of Data pipelines.
You can clearly articulate and implement different data ingestion patterns depending on the use case. In this role, you are comfortable speaking to both business and technical stakeholders to ensure combined understanding and collaborative solutions. This role will be expected to own tasks and follow-up related to cloud data platform design and development activities and establish well documented best practices and processes related to the Data Modernization efforts.
Qualifications: 5+ years of experience in Cloud Data Architecture, data warehousing, data modeling, ETL, enterprise and business information system architectures, and system engineering Thorough knowledge and Implementation experience of data warehouse and Enterprise Data architecture principles, specifically Decentralized data architectures like Data Mesh. 3-5 years of experience developing Cloud-based (AWS) data solutions. 5+ years of Cloud database platform experience such as Snowflake. Experience in creating and maintaining end-to-end data pipelines. Strong communication skills comfortable explaining/proposing solutions to technical stakeholders, vendors, and business consumers. Proficiency with Unix, Linux, and shell scripting Experience working with a large, multi-terabyte enterprise data platform in Cloud. Clear understanding on system administration, database administration, storage architectures, backup & recovery, and networking. 3-5 years of experience in Informatica (IICS) ETL, Snowflake Data Warehousing and Airflow (Orchestration) experience. Experience working with highly sensitive health care information and familiar with HIP nd other data privacy controls.
Highly preferred skills:
Amazon Web Services (AWS) Certification or Cloud Data Engineer Certification Informatica (IICS) and Airflow (Orchestration) experience Snowflake certification Cognos and/or Tableau reporting experience
Compétences linguistiques
- English
Avis aux utilisateurs
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