Line of Service
AdvisoryIndustry/Sector
TechnologySpecialism
Advisory - OtherManagement Level
Senior AssociateJob Description & Summary
The Data Engineer builds and maintains data systems that serve as the backbone for analytics and reporting. This role ensures the seamless flow of data across systems, enabling the organization to monitor performance and make informed decisions.Key Responsibilities:
Design and develop data pipelines for integrating, cleaning, and transforming data from multiple banking systems into usable formats.
Collaborate with business analysts and BI teams to ensure data readiness for dashboards and reports.
Troubleshoot, optimize, and monitor data workflows to ensure consistent performance and reliability.
Implement data storage and retrieval solutions that align with regulatory requirements and organizational standards.
Ensure data accuracy and completeness through rigorous validation and testing practices.
Required Skills & Experience:
4+ years of experience in data engineering, with exposure to the banking sector, particularly in collections and loans.
Strong knowledge of delinquency rates, collection efficiency, and loan portfolio health and their application in data analytics.
Proficient in Spark, Airflow, and Delta Lake for building scalable pipelines.
Advanced SQL skills with experience in Presto, PostgreSQL, and Hive.
Familiarity with MinIO/S3 for data storage and compliance practices.
Understanding of reporting requirements and collaboration with BI teams.
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required:Degrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline, Data Quality, Data Transformation, Data Validation {+ 18 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date