Data Engineer- Remote

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

Originally posted on Himalayas