Data Engineer
Summary
The Data Engineer will design, develop, and maintain ETL pipelines and stored procedures to support banking applications and regulatory reporting. The role requires at least 5 years of experience in ETL development and a strong background in SQL within the financial services sector.
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Position Overview
We are seeking an experienced Data Engineer with a strong background in ETL development and stored procedure programming to join our team in the banking sector. The ideal candidate will have at least 5 years of hands-on experience in designing, developing, and maintaining ETL pipelines, with a solid understanding of ETL testing methodologies and data quality assurance. This role requires both technical expertise and industry knowledge to support mission-critical banking applications and regulatory reporting.
Design, develop, and optimize ETL processes to extract, transform, and load data from multiple sources into enterprise data warehouses.
Write and maintain stored procedures to support complex data transformations and reporting requirements.
Collaborate with business analysts, data scientists, and IT teams to ensure data solutions meet business needs.
Implement and enforce ETL testing methodologies, including unit testing, integration testing, and regression testing, to ensure data accuracy and reliability.
Monitor, troubleshoot, and resolve issues in ETL workflows and database systems.
Document technical designs, workflows, and best practices for knowledge sharing and compliance.
Ensure compliance with banking industry standards, regulatory requirements, and data governance policies.
QualificationsBachelor's degree in Computer Science, Information Systems, or related field.
Minimum 5 years of experience in ETL development (using tools such as Informatica, Talend, SSIS, or equivalent).
Strong proficiency in SQL and stored procedure development (e.g., Oracle PL/SQL, T-SQL).
Proven experience working in the banking or financial services industry, with knowledge of regulatory and compliance requirements.
Solid understanding of ETL testing methodologies and data validation techniques.
Experience with performance tuning and optimization of ETL processes and database queries.
Strong problem-solving skills and ability to work under pressure in a fast-paced environment.
Excellent communication and documentation skills.