Expert Data Integration Specialist

5 hours ago

Lahore, Punjab, Pakistan beBeeData Full time 15,000,000 - 20,000,000

We are seeking a skilled Data Integration Engineer to join our team and play a crucial role in building and managing data pipelines across various platforms.

This position requires extensive SQL experience and a strong background in PySpark development, with certifications in Azure Data Fabric highly valued.

Key Responsibilities

Data Engineering:

  • Work with Azure Synapse Pipelines and PySpark for data transformation and pipeline management.
  • Perform data integration and schema updates in Delta Lake environments, ensuring smooth data flow and accurate reporting.
  • Collaborate with our DevOps team on CI/CD processes for deployment of Infrastructure as Code (IaC) and Workspace artifacts.
  • Develop custom solutions for customers defined by our Data Architect and assist in improving our solution patterns over time.

Documentation:

  • Document ticket resolutions, testing protocols, and data validation processes.
  • Collaborate with stakeholders to provide specifications and quotations for enhancements requested by customers.

Ticket Management:

  • Monitor the Jira ticket queue and respond to tickets as they are raised.
  • Understand ticket issues, utilizing extensive SQL, Synapse Analytics, and other tools to troubleshoot them.
  • Communicate effectively with customer users who raised the tickets and collaborate with other teams as needed to resolve issues.

Troubleshooting and Support:

  • Handle issues related to ETL pipeline failures, Delta Lake processing, or data inconsistencies in Synapse Analytics.
  • Provide prompt resolution to data pipeline and validation issues, ensuring data integrity and performance.

The ideal candidate has extensive experience with SQL, including query writing and troubleshooting in Azure SQL, Synapse Analytics, and Delta Lake environments. They should have a strong understanding and experience in implementing and supporting ETL processes, Data Lakes, and data engineering solutions. Azure Synapse Analytics, including workspace management, pipeline creation, and data flow management is also required. Hands-on experience with PySpark for data processing and automation is necessary.

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