Data Engineer with Databricks and Spark
Merican
Data Engineer With Databricks And Spark
This role builds, and maintains scalable data pipelines and lakehouse infrastructure on Microsoft Azure to support efficient extraction, transformation, and loading of data across batch and real-time workloads.
It involves implementing and managing the Medallion Architecture (Bronze → Silver → Gold) using Azure Data Factory, Databricks-PySpark, and Azure SQL Database and Databricks unity catalogue.
The role requires ensuring SLA-adherent data quality standards. Success is measured by pipeline reliability, data freshness SLA compliance, and the quality of Gold-layer datasets powering Power BI executive dashboards.
The work supports organizational decision-making by delivering trusted, well-governed data to business executives and analytics consumers.
Vacancy posted 3 days ago
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