Senior Data Engineer
hace 1 mes
Job Summary:
We are seeking a highly skilled and experienced Data Engineer with expertise in Azure Databricks to join our team at Capgemini. As a key member of our data engineering team, you will play a pivotal role in designing, building, and optimizing data processes using cutting-edge technologies like PySpark/Scala or Spark SQL within Databricks notebooks.
Key Responsibilities:
- Data Process Design and Development: Design and develop data processes using Azure Databricks, ensuring seamless data ingestion, processing, and loading into our data lake and Synapse environments.
- Pipeline Development and Optimization: Develop and optimize data factory pipelines to ensure efficient data flows and minimize latency.
- Database Design and Implementation: Design and implement database structures, including tables, views, and stored procedures in Synapse, to support business intelligence and analytics.
Requirements:
- Expertise in Azure Databricks: Minimum of 3 years of hands-on experience constructing pipelines with Azure Data Factory and leveraging PySpark/Scala or Spark SQL to unlock the full potential of data.
- Cloud Data Engineering: Over 5 years of experience navigating databases and ETL tools, with a strong understanding of cloud-based data engineering concepts and technologies.
- Programming Skills: Proficiency in languages like C#, Java, or Python, with experience in coding and developing data engineering solutions.
- Primary Skill: Azure Databricks - Your expertise here will be the cornerstone of our data engineering endeavors.
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