Sr. Data Engineer with ITIL

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profile Job Location:

New York City, NY - USA

profile Monthly Salary: Not Disclosed
Posted on: 22 hours ago
Vacancies: 1 Vacancy

Job Summary

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 ...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala