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
