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Data Engineer
Job Description
Build and maintain reliable data integration pipelines and ETL solutions to process large volumes of data from multiple sources for data scientists and analysts at a financial services company.
What you will be doing?
- Develop and implement efficient data ingestion pipelines to extract and integrate structured and unstructured data from various sources while ensuring data quality and integrity
- Design and optimize scalable data processing workflows using Spark and ETL tools to clean, transform, and enrich raw data for performance and reliability
- Establish data governance policies, enforce compliance with regulations like GDPR and HIPAA, and conduct data audits to maintain data accuracy and security
Who You Are
- BSc in Computer Science/Engineering or related field with at least 3 years of experience developing and managing ETL/ELT solutions in financial institutions or FinTech
- Certified in relevant data engineering platforms such as Azure Data Engineer Associate, Databricks, AWS, Google Cloud, or IBM Cloud Pak for Data
- Proficient in big data technologies, data architecture design, performance optimization, and cross-functional collaboration with data scientists and engineers
Empowering individuals and businesses with the tools to harness data, drive innovation, and achieve excellence in a digital world.
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