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We are seeking a highly skilled Senior Data Engineer with 5+ years of experience in building scalable data solutions. The ideal candidate will have strong expertise in SQL, PySpark, ETL processes, Data Lakes, and the Azure data ecosystem.
Job Responsibility:
Design, develop, and maintain robust data pipelines using Python/PySpark
Build and optimize ETL workflows for large-scale data processing
Work with Azure services such as: Azure Blob Storage
Azure Data Lake
Azure Data Factory
Azure Synapse Analytics
Ensure high performance and reliability of data systems
Collaborate with cross-functional teams to understand data requirements
Implement best practices for data governance, security, and quality
Use version control tools like Git and manage tasks via Azure DevOps or Jira
Provide technical guidance and mentorship to junior team members.
Drive design decisions and contribute to data architecture planning.
Requirements:
5+ years of experience with SQL
4+ years of hands-on experience in building data pipelines using Python/PySpark
4+ years of experience with the Azure ETL stack
Strong understanding of: Data modeling
Distributed computing
Data warehousing concepts
Experience with code versioning tools (Git)
Familiarity with Agile tools such as Azure DevOps or Jira