Job Description:

Develop and maintain data models (conceptual, logical, and physical) to support business intelligence and analytical needs. Conduct data profiling, data quality analysis, and anomaly detection to ensure clean, reliable, and well-structured data
Design, implement, and optimize ETL/ELT pipelines within Databricks, using Apache Spark, Delta Lake, and cloud storage
Experience in Data Governance and Data Quality practices
Proficiency in Python, Scala, or languages commonly used in Databricks
Interact with data architects (Azure Databricks, AWS Databricks, Google Cloud and integrate with data lakes and data warehouses

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