Chief Cloud Data Infrastructure Specialist

5 days ago


Lahore, Punjab, Pakistan beBeeData Full time 7,200,000 - 10,800,000
Cloud Data Engineer Role

This is a remote contract position responsible for designing building and maintaining the infrastructure required for data integration storage processing and analytics.

Key Responsibilities:
  • Architect design develop test and maintain high-performance large-scale data architectures for data integration batch and real-time storage processing orchestration and infrastructure; ensure scalability reliability and performance Databricks and Azure.
  • Construct and optimize Apache Spark jobs and clusters within Databricks.
  • Migrate from Azure Synapse to Azure Data Lake or other technologies.
Required Skills/Competencies:
  • Strong programming skills in Python required Scala and writing efficient and optimized code for data integration migration storage processing and manipulation.
  • Thorough understanding of big data principles techniques and best practices.
  • Experience with scalable and distributed data processing technologies such as Spark PySpark Azure Databricks DBT and Kafka.
  • Cloud computing in Microsoft Azure for data and analytics ADF Databricks Synapse Data Lake Data Lake Storage SQL Database etc.
Additional Information:

The ideal candidate will have a strong background in Python SQL PySpark Azure Databricks Synapse Azure Data Lake DevOps and cloud-based large-scale data applications. They should also have experience with Agile methodologies SDLC tools and cloud computing platforms.



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