Sr Data Engineer Guidewire Implementation Integration
Sr Data Engineer Guidewire Implementation Integration
Posted on :
10-10-2024
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Job Description
MatchPoint Solutions is a fastgrowing young energetic global ITEngineering services company with clients across the US. We provide technology solutions to various clients like Uber Robinhood Netflix Airbnb Google Sephora and more! More recently we have expanded to working internationally in Canada China Ireland UK Brazil and India. Through our culture of innovation we inspire build and deliver business results from idea to outcome. We keep our clients on the cutting edge of the latest technologies and provide solutions by using industry specific best practices and expertise.
We are excited to be continuously expanding our team. If you are interested in this position please send over your updated resume. We look forward to hearing from you!
Role: Sr. Data Engineer (Guidewire Implementation & Integration)
Location: US Remote
Duration: Long Term
Responsibilities:
Guidewire CDA Integration: Utilize Guidewire Cloud Data Access (CDA) to extract transform and load (ETL) Guidewire data into downstream systems ensuring data availability for reporting and analytics.
Data Pipelines & ETL Development: Design build and maintain scalable and efficient ETL pipelines that integrate Guidewire data with data warehouses data lakes and other enterprise systems.
Data Modeling & Architecture: Work closely with Data Architects to develop optimize and manage Guidewire data models and schema ensuring high performance and scalability.
Cloud Integration: Implement cloudbased data engineering solutions using platforms like AWS Azure or GCP ensuring smooth integration of Guidewire data with cloud services.
Data Quality & Governance: Ensure data integrity accuracy and compliance with data governance standards across all Guidewirerelated data pipelines and integrations.
Performance Tuning & Optimization: Optimize data processing workflows and queries to ensure high performance minimizing delays in data availability.
Collaboration: Collaborate with business analysts data architects and other IT teams to translate business requirements into effective data engineering solutions.
Automation: Build and maintain automation processes for regular data loads ensuring reliable data ingestion and processing with minimal manual intervention.
Documentation & Best Practices: Maintain clear documentation of data engineering processes data flows and pipeline architecture while adhering to industry best practices.
Data Pipelines & ETL Development: Design build and maintain scalable and efficient ETL pipelines that integrate Guidewire data with data warehouses data lakes and other enterprise systems.
Data Modeling & Architecture: Work closely with Data Architects to develop optimize and manage Guidewire data models and schema ensuring high performance and scalability.
Cloud Integration: Implement cloudbased data engineering solutions using platforms like AWS Azure or GCP ensuring smooth integration of Guidewire data with cloud services.
Data Quality & Governance: Ensure data integrity accuracy and compliance with data governance standards across all Guidewirerelated data pipelines and integrations.
Performance Tuning & Optimization: Optimize data processing workflows and queries to ensure high performance minimizing delays in data availability.
Collaboration: Collaborate with business analysts data architects and other IT teams to translate business requirements into effective data engineering solutions.
Automation: Build and maintain automation processes for regular data loads ensuring reliable data ingestion and processing with minimal manual intervention.
Documentation & Best Practices: Maintain clear documentation of data engineering processes data flows and pipeline architecture while adhering to industry best practices.
Technical Skills:
10 years of experience in data engineering or a similar role.
3 years of experience with Guidewire Insurance Suite (PolicyCenter BillingCenter ClaimCenter).
2 years of handson experience with Guidewire Cloud Data Access (CDA) for data extraction and integration.
Proven experience in building ETL pipelines and integrating Guidewire data with cloudbased and onpremises systems.
Strong SQL and PL/SQL skills for querying and transforming Guidewire data.
Proficiency with data integration and ETL tools such as Informatica PySpark etc.
Experience with Azure cloud platforms for data storage processing and integration.
Familiarity with big data technologies and modern data architecture.
Handson experience with APIs and microservices for data integration.
Knowledge of version control systems (e.g. Git) and CI/CD practices for automating data workflows.
3 years of experience with Guidewire Insurance Suite (PolicyCenter BillingCenter ClaimCenter).
2 years of handson experience with Guidewire Cloud Data Access (CDA) for data extraction and integration.
Proven experience in building ETL pipelines and integrating Guidewire data with cloudbased and onpremises systems.
Strong SQL and PL/SQL skills for querying and transforming Guidewire data.
Proficiency with data integration and ETL tools such as Informatica PySpark etc.
Experience with Azure cloud platforms for data storage processing and integration.
Familiarity with big data technologies and modern data architecture.
Handson experience with APIs and microservices for data integration.
Knowledge of version control systems (e.g. Git) and CI/CD practices for automating data workflows.
MatchPoint Solutions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race color religion age sex national origin disability status genetics protected veteran status sexual orientation gender identity or expression or any other characteristic protected by federal state or local laws.
This policy applies to all terms and conditions of employment including recruiting hiring placement promotion termination layoff recall transfer leaves of absence compensation and training.
Employment Type
Full Time
Key Skills
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