Summary
We are seeking a seasoned professional to lead big data initiatives, focusing on Azure Databricks development and advanced PySpark coding. The role involves designing data lake, warehouse, and mart architectures, creating robust data pipelines, and handling end‑to‑end development, testing, and deployment. Strong SQL skills and experience with data ingestion and integration are essential, with Python knowledge considered an advantage.
Highlights
Lead end‑to‑end big data initiatives, drive development on Azure Databricks, and implement advanced data pipelines using PySpark and SQL. Opportunity to shape data architecture across lakes, warehouses and marts while collaborating with cross‑functional teams.
Description
Overall 6.5 - 10 yrs of IT experience preferably in cloud· Min 5 years in Azure Databricks on development projects· Should be 100% hands on in Pyspark coding· Should have strong SQL expertise in writing advanced/complex SQL queries· DWH experience is a must for this role· Experience in programming using Python is an advantage · Experience in data ingestion, preparation, integration, and operationalization techniques in optimally addressing the data requirements· Should be able to understand system architecture which involves Data Lakes, Data Warehouses and Data Marts· Experience to own end-to-end development, including coding, testing, debugging and deploymentExcellent communication is required for this role
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