Senior Cloud Data Architect

3 days ago

Karachi, Sindh, Pakistan beBeeDataInfrastructure Full time $150,000 - $250,000

About Our Data Infrastructure Role

This is a remote position responsible for designing, building, and maintaining large-scale data infrastructure for integration, storage, processing, and analytics in the Aviation Industry.

As a skilled Senior Data Engineer with strong background in Python, SQL, PySpark, Azure, Databricks, Synapse, Azure Data Lake, DevOps and cloud-based large scale data applications, you will develop in an Agile environment contributing to architecture, design, and implementation of Data products.

  • Architect, design, develop, test and maintain high-performance, large-scale, complex data architectures focusing on Databricks and Azure.
  • Contribute to detailed design, architectural discussions, and customer requirements sessions.
  • Actively participate in the design, development, and testing of big data products.
  • Construct and fine-tune Apache Spark jobs and clusters within the Databricks platform.

Our ideal candidate will have expertise in designing and implementing efficient ELT/ETL processes in Azure and Databricks, proficient knowledge of various cloud security vulnerabilities and ways to mitigate them, and a willingness to stay updated with the latest services, Data Engineering trends, and best practices in the field.

Key Responsibilities Include:

  1. Designing and implementing scalable data architectures using Databricks and Azure technologies.
  2. Collaborating with cross-functional teams to understand data requirements and develop data solutions.
  3. Developing and maintaining high-performance data pipelines using Apache Spark.
  4. Participating in the design, development, and testing of big data products.

Requirements:

  • Strong background in Python, SQL, PySpark, Azure, Databricks, Synapse, Azure Data Lake, DevOps and cloud-based large scale data applications.
  • Experience in designing and implementing efficient ELT/ETL processes in Azure and Databricks.
  • Proficient knowledge of various cloud security vulnerabilities and ways to mitigate them.

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