Azure Databricks Specialist
5 days ago
Career opportunities abound at Capgemini, where innovation and collaboration come together to drive business success. As a Cloud Data Modeller, you'll play a key role in designing, implementing, and optimizing scalable data models for cloud-based solutions, working closely with data engineers, architects, and business stakeholders to ensure efficient data structures and seamless integration across the Azure ecosystem.
This is an excellent opportunity to develop your skills and knowledge in data modeling, database design, and ETL processes, as well as to gain hands-on experience with Databricks and Delta Lake. With a focus on data governance, security, and best practices, you'll be part of a dynamic team dedicated to delivering high-quality solutions that meet our clients' needs.
- Main Responsibilities:
- Design and implement data models for structured and unstructured data.
- Develop and optimize data pipelines using Azure & Databricks.
- Define and enforce data governance, security, and best practices.
- Collaborate with stakeholders to translate business needs into data models.
- Support data integration, transformation, and storage strategies.
- Optimize performance and scalability of data solutions.
What We Look For:
- Bachelor's degree in Computer Science, IT, or a related field.
- Strong experience in data modeling, database design, and ETL processes.
- Proficiency in Azure services (Azure Data Lake, Synapse, Data Factory, SQL DB).
- Hands-on experience with Databricks, Delta Lake, and Apache Spark.
- Expertise in SQL, Python, or Scala for data engineering.
- Strong understanding of normalization, denormalization, and data warehousing.
- Experience with data governance, security, and compliance frameworks.
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