Sr. Data Engineer with ITIL (Snowflake SnowSQL Python Pyspark) (ServiceNow or Jenkins)
New York City NY
Position type: W2 contract
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
- 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.)
Sr. Data Engineer with ITIL (Snowflake SnowSQL Python Pyspark) (ServiceNow or Jenkins) New York City NY Position type: W2 contract Key Responsibilities Data Engineering & Platform Development (60%) Design develop and maintain scalable reliable data pipelines and ETL/ELT processes using Snowflake ...
Sr. Data Engineer with ITIL (Snowflake SnowSQL Python Pyspark) (ServiceNow or Jenkins)
New York City NY
Position type: W2 contract
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
- 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.)
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