Sr. Data Engineer with ITIL

Key Responsibilities

• 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
  • 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
• Snowflake SnowPro Core or Advanced certifications
• AWS/Azure cloud certifications
• Experience with financial data platforms (Bloomberg, Refinitiv, etc.)