Data Engineer, L2
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Job Description
Data Engineer responsible for designing, building, and maintaining data architecture and infrastructure. Develop and deploy data solutions meeting organizational needs.
Responsibilities:
- Responsible for designing, building, and maintaining the data architecture and infrastructure required for our organization's data needs
- Develop, test, and deploy data solutions, ensuring they meet our organization's needs
Requirements:
- 5+ years of experience in Data Engineering
- Strong expertise in Python, Pandas, and PySpark for large-scale data processing
- Advanced hands-on experience with Databricks and Azure Synapse Spark
- Strong experience with Azure Data Factory and end-to-end data pipeline development
- Expertise in SQL query tuning and performance optimization
- Experience in SQL Server migration projects
- Experience designing scalable big data and cloud-based data solutions
- Ability to independently develop, optimize, and deploy enterprise data workflows
- Knowledge aligned with Databricks Certified Data Engineering Professional
- Nice to have: Terraform for Azure and infrastructure automation
- L2 knowledge assessed in the Databricks certification: Databricks Certified Data Engineering Professional
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