Azure Data Engineer W/Databricks
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Role details
Tech stack
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Job description
Azure Databricks Python (Python is a critical skill for this role & candidates will be expected to complete a coding problem during the interview in core python) Github Unit Testing Streaming with Declarative Pipelines (SDP), This resource will be supporting project IRIS (tied to Supply Chain Analytics space)
Requirements
Software Languages and Software Development 4+ years in the following areas:
PySpark 4+ years
Python 4+ years
Data Development, Data Warehouse, ETL concepts 4+ years
Azure Skills 2+ years in most of the following areas:
Security Concepts
Domain Concepts
Storage Accounts
Key Vaults and Secrets
Databricks Skills 2+ years in most of the following areas:
Notebooks
Delta Live Tables
Databricks Asset Bundles
Cluster Configuration and Management
Unity Catalog
SDLC Skills 3+ years of experience in the following areas:
CI/CD Concepts
Git, GitHub Repositories
Automated Testing (Unit Testing, Integration Testing, Regression Testing)
Business Drivers/Customer Impact
IRIS - Inventory Replenishment Innovation and Sciences The team’s vision is to enhance Client’s warehouse inventory planning and replenishment capabilities by using data science solutions to maximize profit and service level objectives. This is done by Identifying and integrating optimized parameters and decision thresholds into AIP (oracle’s Advanced Inventory Planning) to support inventory planning and replenishment decisions.
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