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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and developing scalable ETL/ELT data pipelines using Azure Data Factory and Snowflake, with a strong focus on data integration, governance, and quality. Proven ability to lead technical discussions and provide guidance to data engineering teams while ensuring compliance with enterprise standards.
Highest-signal resume keywords
Azure Data FactorySnowflakeSQL Performance OptimizationGuidewire Data IntegrationData Governance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringData IntegrationETL/ELT DesignSQL Query DevelopmentData TransformationData Pipeline MonitoringData Quality StandardsCloud Data ArchitectureCI/CD ProcessesData Modeling
Soft Skills
CommunicationCollaborationTechnical Leadership
Tools & Technologies
Azure Data Lake StorageDBTAzure Synapse AnalyticsPower BITableauPythonPySparkDatabricksDevOps PracticesDataStage
Certifications & Qualifications
Bachelor’s Degree in Computer ScienceMaster’s Degree in Data Engineering
Industry Keywords
Insurance DataGuidewire InsuranceSuiteData GovernanceData Quality RequirementsEnterprise Data Platforms
Tech Stack
Tools & technologiesAzureCloudETLGuidewirePySparkPythonSQLTableau
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- 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
- Experience working with large-scale and complex enterprise datasets
- Strong understanding of Guidewire InsuranceSuite, Guidewire data models, or Guidewire-based data integrations
- Experience working with insurance domain data such as Policy, Claims, Billing, Customer, Producer, and Underwriting data
- Experience integrating data from Guidewire applications into enterprise data platforms
- Strong understanding of Guidewire data structures and insurance business processes
- Ability to work with Guidewire APIs, extracts, events, or integration mechanisms where applicable
- Experience in designing downstream data pipelines and analytics solutions for Guidewire-generated data
- Understanding of insurance data governance, reconciliation, and data quality requirements
- Experience with Azure Synapse Analytics, Azure Functions, Python and/or PySpark, Databricks, DataStage or Netezza, CI/CD pipelines, DevOps practices, data governance, metadata management, data catalog, data lineage tools, Power BI, Tableau, or other BI and analytics tools is advantageous or preferred
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field
- 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
Benefits
Comp & perks- 🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account EXL Website LinkedIn All Job Openings 10,000+ employees 🏥 Healthcare 🛡️ Insurance 📦 Logistics 💰 $2M Venture Round on 2015-01 Healthcare
- Insurance
- Logistics EXL is a business consulting and services firm that focuses on leveraging data to enhance business operations and decision-making. With a strong emphasis on collaboration and adaptability, EXL partners with organizations to address their unique needs and culture while integrating data science and technology solutions. The company's areas of expertise include operations management, decision analytics, digital transformation, and various industries such as healthcare, finance, and insurance. EXL's mission is to help clients drive business evolution and maintain competitive advantage through tailored solutions and effective use of data. Lead Data Engineer, Azure – Guidewire 🔥 1 hour ago 🏢🏡 Gurugram – Hybrid ⏰ Full Time 🟠 Senior ☁️ Cloud Engineer 👻 Ghost score 11% Azure Cloud ETL Guidewire PySpark Python SQL Tableau Apply Now Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
- 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 🎯 Requirements
- 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
- Experience working with large-scale and complex enterprise datasets
- Strong understanding of Guidewire InsuranceSuite, Guidewire data models, or Guidewire-based data integrations
- Experience working with insurance domain data such as Policy, Claims, Billing, Customer, Producer, and Underwriting data
- Experience integrating data from Guidewire applications into enterprise data platforms
- Strong understanding of Guidewire data structures and insurance business processes
- Ability to work with Guidewire APIs, extracts, events, or integration mechanisms where applicable
- Experience in designing downstream data pipelines and analytics solutions for Guidewire-generated data
- Understanding of insurance data governance, reconciliation, and data quality requirements
- Experience with Azure Synapse Analytics, Azure Functions, Python and/or PySpark, Databricks, DataStage or Netezza, CI/CD pipelines, DevOps practices, data governance, metadata management, data catalog, data lineage tools, Power BI, Tableau, or other BI and analytics tools is advantageous or preferred
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field
- 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 Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score View More Cloud Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Remote jobs Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources About us Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Is Remote Rocketship legit? Privacy policy Terms of service Job board SEO course Remote Job Search MasterClass Resume Review AI Apply Copilot OpenClaw job finder API docs Find jobs using your resume Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs