Data Engineer- Remote
Indexed description
As a Data Engineer, design, build, and maintain data architecture and infrastructure, develop, test, and deploy data solutions.
Requirements
- Experience with Python for data analysis and processing - Proficiency in Pandas for data manipulation and analysis - Experience with Pyspark for distributed data processing - Familiarity with Databricks for big data workloads - Experience with Azure Synapse Spark for data pipelines - Experience with Azure Data Factory for data integration workflows - Proficiency in SQL for querying and optimization - Experience with SQL Server migration - Bonus: Experience with Terraform for Azure Benefits
- Generous Paid Time Off - 401k Matching - Retirement Plan - Visa Sponsorship - Four Day Work Week - Generous Parental Leave - Tuition Reimbursement - Relocation Assistance
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