Job Description
- Design, develop, and maintain scalable ETL/data integration pipelines to ingest and transform data from multiple sources.
- Build and optimize data processing solutions using Python, SQL, and Big Data technologies such as Hadoop and Spark.
- Ensure data quality, integrity, and consistency across the entire ETL lifecycle.
- Develop data integration processes to consolidate structured and unstructured data from diverse banking systems.
- Optimize ETL jobs and database queries for performance, scalability, and reliability.
- Implement and maintain data models aligned with business and reporting requirements.
- Collaborate with business stakeholders, data analysts, and application teams to understand data requirements and deliver efficient data solutions.
- Troubleshoot production issues and provide ongoing support for data pipelines and integration processes.
- Follo...
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