About the Role
Key Responsibilities:
- Develop and optimize data pipelines using AWS services and Databricks
- Perform data transformation and processing using PySpark and Python
- Write complex SQL queries for data analysis and reporting
- Work with large-scale structured and semi-structured datasets
- Collaborate with stakeholders to support banking and regulatory data requirements
Required Skills & Experience:
- 8+ years of experience is required
- Strong experience as a Data Engineer on AWS
- Hands-on expertise with Databricks, PySpark, Python, and SQL
- Experience working in the banking/financial services domain
- Knowledge of data security, governance, and compliance standards
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