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
Originally posted on Himalayas
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