Cloud Data Pipeline Developer
5 days ago
At Capgemini Engineering, we are committed to creating a diverse and inclusive work environment that attracts the best talent. We are seeking a Cloud Data Pipeline Developer to join our data engineering team, responsible for designing, developing, and maintaining scalable data pipelines in Azure Databricks using Python and Apache Spark for large-scale data processing.
Job Summary:The Cloud Data Pipeline Developer will collaborate with cross-functional teams to understand business needs and develop data solutions using Databricks to transform and integrate data from multiple sources. This role requires strong proficiency in Python for data processing and building custom scripts, as well as experience working with Azure Databricks and Apache Spark for data processing and analytics.
Responsibilities:- Design, develop, and maintain scalable data pipelines in Azure Databricks using Python and Apache Spark for large-scale data processing.
- Collaborate with cross-functional teams to understand business needs and develop data solutions using Databricks to transform and integrate data from multiple sources.
- Use Python to develop custom data processing scripts, ETL jobs, and data transformation logic for handling structured, semi-structured, and unstructured data.
- Bachelor's degree in Computer Science, Information Technology, Data Engineering, or related field.
- Proven experience (3+ years) working with Azure Databricks and Apache Spark for data processing and analytics.
- Strong proficiency in Python for data processing and building custom scripts.
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