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You will be updated with latest job alerts via emailWe are seeking an experiencedData Engineerwith proven expertise inSAS Alteryx and Databricksto join our financial data and analytics team. The ideal candidate will have a solid understanding of banking operations regulatory requirements and large-scale data integration with the ability to design and maintain robust data pipelines that support analytics machine learning and reporting for mission-critical financial applications.
Data Pipeline Development & Management
Design build and maintain scalable efficient ETL/ELT pipelines usingSAS Alteryx and Databricks.
Integrate data from diverse banking systems transaction platforms and external data providers.
Ensure data quality consistency and accuracy across the organization.
Data Processing & Transformation
Perform large-scale data cleaning transformation and enrichment for use in analytics and reporting.
Optimize data workflows leveragingSparkin Databricks for distributed processing.
Develop reusable Alteryx workflows for recurring data processing tasks.
Collaboration & Business Support
Work closely with data scientists analysts and business stakeholders to understand requirements and deliver data solutions that enable business insights.
Support the integration of data sources for use in financial risk modeling fraud detection customer analytics and compliance reporting.
Compliance & Governance
Implement and adhere to data governance security and privacy best practices in line withbanking regulatory requirements(e.g. Basel III GDPR PCI-DSS).
Maintain clear documentation of data pipelines workflows and processes.
Continuous Improvement
Identify opportunities to automate manual data processes and improve data pipeline efficiency.
Stay up to date with new features and best practices for SAS Alteryx and Databricks in financial services.
Education:Bachelors or Masters degree in Computer Science Data Engineering Information Systems or related field.
Experience:
5 years of experience as a Data Engineer or in a similar data-focused role.
Strong hands-on experience withSASAlteryx andDatabricks.
Solid understanding of ETL design data modeling and data warehouse concepts.
Experience working with financial datasets transaction processing systems and banking analytics.
Technical Skills:
Proficiency inSQLfor complex queries and performance optimization.
Strong experience withSparkin Databricks for big data processing.
Familiarity with Python Scala or R for data manipulation and automation.
Experience with cloud platforms (Azure AWS or GCP) ideallyAzure Databricks.
Experience with financial reporting and compliance-driven data workflows.
Knowledge of API integration and automation in Alteryx.
Exposure to BI/visualization tools (Tableau Power BI).
Understanding of real-time data streaming concepts in a financial context.
Strong analytical and problem-solving skills.
Excellent communication skills for cross-team collaboration.
Detail-oriented mindset especially when working with sensitive financial data.
Ability to work independently and under tight deadlines.
Full Time