Sr. Data Engineer with ITIL

• Data Engineering & Platform Development (60%)
• Design, develop, and maintain scalable, reliable data pipelines and ETL/ELT processes using Snowflake, SnowSQL, Python, and PySpark
• Architect and implement data models, warehouses, and data marts in Snowflake optimized for financial services analytics
• Develop and optimize complex SQL queries, stored procedures, and UDFs within Snowflake environment
• Implement data quality frameworks, monitoring, and validation processes
• Build real-time and batch data processing solutions for trading, risk, compliance, and customer analytics
• Collaborate with data scientists and analysts to productionize machine learning models and advanced analytics
• ITIL Process Integration & DevOps (30%)
• Implement and maintain CI/CD pipelines using Jenkins for automated testing, deployment, and monitoring of data solutions
• Integrate data engineering workflows with ServiceNow for incident management, change control, and service requests
• Follow ITIL framework for incident, problem, change, and release management processes
• Develop and maintain comprehensive documentation, runbooks, and knowledge articles in ServiceNow
• Participate in ITIL-based change advisory board (CAB) meetings for production deployments
• Ensure compliance with ITIL service level agreements (SLAs) and operational level agreements (OLAs)
• Governance & Collaboration (10%)
• Work closely with IT Service Management teams to align data engineering practices with ITIL standards
• Mentor junior data engineers and conduct knowledge sharing sessions
• Participate in disaster recovery planning and business continuity exercises
• Ensure compliance with banking regulations (SOX, GDPR, CCAR) and data governance policies
• Collaborate with global teams across Tokyo, London, and Singapore offices

Technical Skills needed:

• 9+ years experience with Snowflake architecture, SnowSQL, and Snowpark
• Expert in Snowflake features: Time Travel, Zero-Copy Cloning, Data Sharing, Secure Views
• Strong experience with Snowflake administration, security, and performance tuning
• Programming & Big Data:
• 7+ years experience with Python for data engineering (Pandas, NumPy, SQLAlchemy)
• 5+ years with PySpark for large-scale data processing
• Advanced SQL skills with complex query optimization
• ITIL & DevOps Tools (One Required):
• Experience with ITSM modules, CMDB integration, and workflow automation
• Extensive experience building and maintaining CI/CD pipelines for data applications
• Experience with AWS/Azure cloud platforms
• Knowledge of containerization (Docker, Kubernetes)
• Infrastructure as Code (Terraform, CloudFormation)
• Mandatory ITIL Framework Experience.
• 9+ years practical experience implementing ITIL processes in data/technology environments.
• Experience with ITIL Incident Management, Problem Management, and Change Management.
• Understanding of ITIL Service Strategy, Design, Transition, and Operation phases
• Ability to document processes and maintain knowledge bases in ITIL-aligned systems
• Financial services/banking industry experience required.
• Understanding of banking data domains: trading, risk, compliance, customer, transactions
• ITIL Intermediate/Practitioner certifications
• Snowflake SnowPro Core or Advanced certifications
• AWS/Azure cloud certifications
• Experience with financial data platforms (Bloomberg, Refinitiv, etc.)