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Mid-level, metro Data Engineer with broad, popular technical requirements and 5+ years drives high applicant competition.
Core data engineering skills are transferable, but KYC/AML financial domain preference raises moderate industry sensitivity.
Mandatory 5+ years plus Databricks, Spark, SQL, Power BI, API and cloud experience enforces strict filters.
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Lead integration of Fenergo APIs to extract and manage KYC/AML data ensuring seamless system connectivity.
Design, develop, and maintain scalable data pipelines and ETL processes using Databricks, Apache Spark, and Medallion Architecture.
Develop and maintain Power BI dashboards and reports to provide actionable insights and regular reporting on KYC/AML operations to clients and senior management.
Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, or related field.
5+ years of experience in Data Engineering or Data Analysis with focus on engineering and reporting.
Proficiency with Databricks, Apache Spark, SQL, Python, Power BI, API integrations, and cloud platforms (Azure or AWS).
Work Experience Required: 5+ years in relevant roles
Experienced in KYC/AML data processes or regulatory compliance within Financial Services preferred.
Demonstrates ability to architect complex data pipelines and integrate multiple data sources with strong data governance focus.
Skilled in delivering executive-level data visualizations and maintaining high data quality and documentation standards in a fast-paced environment.