We are seeking experienced Databricks Data Engineers to join our Data & AI. You will play a pivotal role in designing, developing, and maintaining scalable data pipelines and transformation workflows on Azure Databricks, enabling advanced analytics and data engineering initiatives.
Design, develop, and optimize scalable data ingestion pipelines using Azure Data Factory, Databricks, and Apache Spark.
Build and maintain Databricks notebooks using PySpark for data preparation, transformation, and enrichment to support Data Science use cases.
Collaborate closely with Data Scientists to understand data requirements and ensure timely delivery of clean, structured datasets.
Implement data quality checks, validation rules, and monitoring mechanisms.
Integrate data from various sources including structured, semi-structured, and unstructured formats.
Ensure data security, governance, and compliance with banking regulations.
Optimize Spark jobs for performance and cost-efficiency in Azure.
Participate in code reviews, design discussions, and agile ceremonies.
Document data pipelines, workflows, and technical decisions.
