Responsibilities:

📍Data Pipeline Development: 📍Build and maintain scalable ETL/ELT pipelines using Databricks. 📍Leverage PySpark/Spark and SQL to transform and process large datasets. 📍Integrate data from multiple sources including Azure Blob Storage, ADLS and other relational/non-relational systems. 📍Collaboration & Analysis: 📍Work Closely with multiple teams to prepare data for dashboard and BI Tools. 📍Collaborate with cross-functional teams to understand business requirements and deliver tailored data solutions.

Requirements:

📍Strong expertise in Databricks (Delta Lake, Unity Catalog, Lakehouse Architecture, Table Triggers, Delta Live Pipelines, Databricks Runtime etc.). 📍Proficiency in Azure Cloud Services. 📍Solid Understanding of Spark and PySpark for big data processing. 📍Experience in relational databases. 📍Knowledge on Databricks Asset Bundles and GitLab.

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