Cloud Data Engineering Expert for Large-Scale Azure Deployments

hace 1 día


Aguascalientes, Aguascalientes, México Capgemini A tiempo completo

Job Summary:

We are seeking a highly skilled Cloud Data Engineering Expert to join our team in Aguascalientes, Mexico. This role involves designing, building, and maintaining large-scale data pipelines on Azure, ensuring seamless data flow and storage across multiple systems and services.

About the Role:

The ideal candidate will have in-depth experience with Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure SQL Database, Azure Blob Storage, Azure Data Lake, and Azure Data Warehouse. Proficiency in Python or Scala for data engineering and automation tasks is also required.

A strong understanding of data warehousing and data lake architectures, as well as experience implementing these solutions on Azure Synapse or Azure Data Lake, is essential. The successful candidate will also have experience with Power BI, Tableau, or other visualization tools to create dashboards and interactive reports.

Key Responsibilities:

  • Design and implement cloud-based data architectures using Azure SQL Database, Azure Data Lake Storage, Azure Blob Storage, and Azure Synapse Analytics.
  • Build and manage data lakes, data warehouses, and data marts to enable seamless data flow and storage.
  • Develop and maintain backend systems that handle data processing, storage, and retrieval with technologies such as Python, Spark, SQL, and Azure Data Factory.
  • Ensure data consistency, quality, and reliability across multiple systems and services.
  • Create user-friendly data interfaces and reports for business users, ensuring that data insights are accessible and actionable.

What You'll Bring:

  • In-depth experience with Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure SQL Database, Azure Blob Storage, Azure Data Lake, and Azure Data Warehouse.
  • Proficiency in Python or Scala for data engineering and automation tasks.
  • Strong SQL skills for data querying, data transformation, and performance tuning.
  • Experience building ETL pipelines using Azure Data Factory, Azure Databricks, or SQL Server Integration Services (SSIS).
  • Knowledge of batch and streaming data processing techniques using tools like Apache Spark, Azure Stream Analytics, or Apache Kafka.

Salary: $80,000 - $110,000 per year, depending on experience.

Benefits:

  • Competitive compensation package.
  • Opportunities for career growth and professional development.
  • Collaborative work environment.
  • Access to cutting-edge technology and tools.

About Capgemini:

Capgemini is a global leader in consulting, digital transformation, and outsourcing services. We help organizations transform and stay ahead through innovation and expertise. Our culture values diversity, inclusivity, and collaboration, and we are committed to making a positive impact on society.



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