Azure Fabric Data Engineer

Capgemini • Vancouver, British Columbia, Canada • 21h ago

Responsibilities

Architect, design and implement ETL (Extract, Transform, Load) processes to ingest data from various sources into Unity Catalog experience/knowledge is a strong asset
Use notebooks to write code in PySpark, SparkR, or Spark SQL for data ingestion, preparation, and transformation
Develop and manage frameworks for data ingestion and workflow orchestration using Data Factory or Dataflows
Work closely with data scientists, analysts, and business stakeholders to understand data requirements and deliver appropriate solutions
Document data engineering processes, architecture, and configurations using Agile methodology to support use cases, ensuring standardization and reusability of work products.

Qualifications

Bachelor's degree in computer science, Information Technology, or a related field.
5+ years of experience in data engineering, with a focus on Microsoft Azure and related technologies.
Hands-on experience with Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and other Azure data services.
Proficiency in SQL, Python, R, and other relevant programming languages.
Hands-on Experience in big data technologies and frameworks, data integration and database development.
Excellent problem-solving, communication, and analytical skills.
Effective communication and collaboration skills.
Unity Catalog Experience is desired.
Fabric Analytics Engineer Associate or Azure Data Engineer Associate certifications are a plus.

Disclaimer

Capgemini

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