Found Description
We are seeking a skilled Data Engineer with expertise in Databricks, Python, PySpark, SQL, and Release Management to join our dynamic team. The ideal candidate will have a strong background in the banking domain and will be responsible for designing, developing, and maintaining robust data pipelines and systems to support our banking operations and analytics.
Role Responsibilities
- Design, develop, and maintain scalable and efficient data pipelines using Databricks, Python, PySpark, and SQL.
- Write optimized and complex SQL queries to extract, transform, and load data.
- Develop and implement data models, schemas, and architecture that support banking domain requirements.
- Collaborate with data analysts, data scientists, and business stakeholders to gather data requirements.
- Automate data workflows and ensure data quality, accuracy, and integrity.
- Manage and coordinate release processes for data pipelines and analytics ...
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