EXL Service
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Gurugram · On-site · 8-11 Yrs · Oct 2
Business consulting · 10000+ Employees · New York, US
In today’s digital world, data is the most powerful differentiator. Companies that leverage AI to turn data into insights and optimize workflows will be the ones to achieve market dominance. At EXL, we partner with clients using a data and AI-led approach to create services and solutions that reinvent client business models, drive better outcomes, and unlock growth at speed. As a leading data and AI company, we bring together the power of data, AI and deep industry knowledge to transform businesses, including the world’s leading corporations in industries including insurance, health, banking, media and retail, among others. Our client relationships are built on a foundation of collaboration, and we’ve been chosen as a data and AI partner by 150 Fortune 1000 / Global 2000 clients including 16 of the top 20 US, UK and AU insurers, nine of the top 15 US and UK banks, and 7 of the top 10 US health care payers. With more than 63,000 employees spanning six continents, we employ one of the largest data science teams in the industry. And we have a proven track record of more than 27 years delivering business services and running complex operations for some of the world’s best-known brands. We drive business forward with data and AI
Hiring: Engineering
What employees say
+ Good Pay & Environment which helps you to stay
− Short bench period and hard to retain talent
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Interview experience · Senior DevOps Engineer
Interview Rounds 1. Screening: Resume, experience, basic technical, notice period, salary. 2. Technical : GCP/GKE, Kubernetes, Terraform, networking, CI/CD, security, architecture, troubleshooting. 3. Managerial: Leader
Average difficulty · Pune · 1,211 reports
More interview insightsJob description
Overview
We are seeking an experienced Azure Lead Data Engineer with Guidewire expertise to lead the design, development, and delivery of scalable data engineering solutions for insurance and enterprise data platforms.
Responsibilities
- Lead the design and development of scalable ETL/ELT data pipelines using Azure Data Factory, Snowflake, DBT, and other Azure data services.
- Design and manage data integration workflows from multiple source systems, including Guidewire applications and insurance data platforms , into Snowflake and Azure-based data environments.
- Analyze and understand Guidewire data models , business entities, policy, claims, billing, underwriting, and related insurance datasets.
- Develop efficient and optimized SQL queries for data extraction, transformation, validation, and reporting.
- Lead technical discussions with business stakeholders, Guidewire teams, architects, and data consumers to translate business requirements into scalable technical solutions.
- Provide technical leadership and guidance to data engineering team members and review code, data models, and pipeline designs.
- Monitor, troubleshoot, and optimize data pipelines to ensure high performance, reliability, scalability, and availability.
- Implement and enforce data quality, governance, metadata, lineage, and documentation standards.
- Develop and maintain reusable data engineering frameworks and best practices.
- Collaborate with data architects, analysts, DevOps, QA, and cloud engineering teams in a cloud-native environment.
- Support migration and modernization of legacy insurance data platforms into Azure and Snowflake.
- Implement and support CI/CD processes for data engineering workflows.
- Ensure data solutions comply with enterprise security, governance, and regulatory requirements.
- Lead the design and development of scalable ETL/ELT data pipelines using Azure Data Factory, Snowflake, DBT, and other Azure data services.
- Design and manage data integration workflows from multiple source systems, including Guidewire applications and insurance data platforms , into Snowflake and Azure-based data environments.
- Analyze and understand Guidewire data models , business entities, policy, claims, billing, underwriting, and related insurance datasets.
- Develop efficient and optimized SQL queries for data extraction, transformation, validation, and reporting.
- Lead technical discussions with business stakeholders, Guidewire teams, architects, and data consumers to translate business requirements into scalable technical solutions.
- Provide technical leadership and guidance to data engineering team members and review code, data models, and pipeline designs.
- Monitor, troubleshoot, and optimize data pipelines to ensure high performance, reliability, scalability, and availability.
- Implement and enforce data quality, governance, metadata, lineage, and documentation standards.
- Develop and maintain reusable data engineering frameworks and best practices.
- Collaborate with data architects, analysts, DevOps, QA, and cloud engineering teams in a cloud-native environment.
- Support migration and modernization of legacy insurance data platforms into Azure and Snowflake.
- Implement and support CI/CD processes for data engineering workflows.
- Ensure data solutions comply with enterprise security, governance, and regulatory requirements.
Qualifications
- 8+ years of experience in Data Engineering, Data Integration, or related roles.
- Strong hands-on experience with the Azure Cloud Platform and Azure data services.
- Proven expertise in Azure Data Factory (ADF) for designing, orchestrating, automating, and monitoring complex data pipelines.
- Strong experience with Azure Data Lake Storage (ADLS) and cloud-based data integration architectures.
- Extensive experience with SQL , including complex queries, performance optimization, and data transformation.
- Hands-on experience with Snowflake and SnowSQL for cloud data warehousing and data engineering.
- Strong working knowledge of DBT (Data Build Tool) for data transformation, testing, and documentation.
- Strong understanding of Guidewire InsuranceSuite , Guidewire data models, or Guidewire-based data integrations.
- Strong problem-solving, communication, stakeholder management, and technical leadership skills.
- Strong understanding of Guidewire data structures and insurance business processes.
- Ability to work with Guidewire APIs, extracts, events, or integration mechanisms where applicable.
- Understanding of insurance data governance, reconciliation, and data quality requirements.
- Knowledge of Python and/or PySpark for custom data transformations and engineering solutions.
- Strong understanding of CI/CD pipelines and DevOps practices for data workflows.
- Exposure to Power BI, Tableau, or other BI and analytics tools .
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field .
- 8+ years of experience in Data Engineering with strong exposure to Azure and cloud data platforms.
- Demonstrated experience leading data engineering teams or providing technical leadership on enterprise data projects.
- Strong understanding of modern cloud data architecture, ETL/ELT, data warehousing, and data governance.
- Excellent communication and collaboration skills with the ability to work across business and technical teams.
- 8+ years of experience in Data Engineering, Data Integration, or related roles.
- Strong hands-on experience with the Azure Cloud Platform and Azure data services.
- Proven expertise in Azure Data Factory (ADF) for designing, orchestrating, automating, and monitoring complex data pipelines.
- Strong experience with Azure Data Lake Storage (ADLS) and cloud-based data integration architectures.
- Extensive experience with SQL , including complex queries, performance optimization, and data transformation.
- Hands-on experience with Snowflake and SnowSQL for cloud data warehousing and data engineering.
- Strong working knowledge of DBT (Data Build Tool) for data transformation, testing, and documentation.
- Strong understanding of Guidewire InsuranceSuite , Guidewire data models, or Guidewire-based data integrations.
- Strong problem-solving, communication, stakeholder management, and technical leadership skills.
- Strong understanding of Guidewire data structures and insurance business processes.
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Job application FAQ
Last updated 14 October 2026
- How do I apply for Azure Lead Data Engineer + Guidewire at EXL Service?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. EXL Service may attach structured assessments to interview rounds after you apply.
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- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Azure Lead Data Engineer + Guidewire remote or on-site in Gurugram, Haryana?
- This listing is marked on_site with location Gurugram, Haryana. Confirm details on the job description before applying.
- What skills matter for this Azure Lead Data Engineer + Guidewire role at EXL Service?
- This is a lead Azure Lead Data Engineer + Guidewire role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.