De-fincrime Data Engineer Staff-gdsn02 jobs at Ey in India, Coimbatore

The opportunity

• Guidewire Claim Centre Support with 3 to 6 Yrs

Your key responsibilities

• Guidewire Claim Center Support and Maintenance (Staff 3-6 years)
• Must be flexible to work in shifts (Rotational Shift – India Shift, UK Shift) and On Call Support on a roster-ed rotational basis.
• Experience in maintenance and support, maintenance, configuration, testing, integration, and deployment.
• Manages the Guidewire CC Configuration and Integration.
• Design, modifies and implements Guidewire product suite.

Skills and attributes for success

• Deep understanding of Guidewire framework, implementation, architecture and components.
• Must have experience in GuideWire Claim Center 9.0 version+
• Well versed in development streams - Configuration/Integration/Both
• Strong knowledge in Guidewire platform (Gosu scripting / UI / Data Model)
• Implementation of Rules (including UI Validation) using GOSU scripting.
• Metadata Configuration of Rules (including UI Validation).
• Integration with External Systems and Guidewire Platform supported integration techniques.
• Working knowledge of Core Java, J2EE, XML, Web Services (SOAP/REST), ANT
• Strong in SQL, Spring, Hibernate, Castor, any Enterprise Messaging System
• Should have strong knowledge and experience on Tomcat and or Websphere/WebLogic
• Real time knowledge and experience on enterprise system integration, preferably from Insurance domain background.
• Experience in Insurance domain, preferably in Property & Casualty.
• Should have understanding and experience of software development best practices.
• Excellent business communication skills
• Excellent leadership skills
• Prior Client facing experience
• Experience with tools like Service-now, JIRA, soap-ui, eclipse IDE, SVN, Jenkins.
• Understand service management and change management activities, along with SLAa and estimator tools.
• Should have worked on incident management and problem management.

To qualify for the role, you must have

• Guidewire CC Config
• Gosu Scripting, UI & Data Models
• Core Java, J2EE, XML, Web Services (SOAP/REST), ANT
• SQL, Spring, Hibernate, Castor, any Enterprise Messaging System
• Tomcat and or Web sphere/WebLogic.

Certification:

• Guidewire CC (Good to have)
• ITIL certification (Good to have)

What we offer

EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career.

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you : We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership : We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

Provides data solutions by using software to process, store, and serve data to others. Tests data quality and optimizes data availability. Ensures that data pipelines are scalable, repeatable, and secure. Builds a deep dive analytical skillset by working with higher level Data Engineers on a variety of internal and external data.

Intermediate Glue, EMR, Redshift, Step Functions, Foundational Services like IAM, Cloud Watch, Cloud formation, Lambda, Secrets Manager, Sagemaker, Pyspark, SQL

Qualifications:

• Minimum of three years in data engineering ( 3 to 6 years ), Data analytics , programming, database administration, or data management experience.
• Graduate degree ( Bachelors Degree , BCA or Masters ) or equivalent combination of training and experience.

Communication And Team Collaboration

• Strong verbal and written communication
• Be highly flexible
• Accountability & E2E ownership

Job Description:

• Writes ETL (Extract / Transform / Load) processes, designs database systems, and develops tools for real-time and offline analytic processing.
• Troubleshoots software and processes for data consistency and integrity. Integrates data from a variety of sources for business partners to generate insight and make decisions.
• Translates business specifications into design specifications and code. Responsible for writing programs, ad hoc queries, and reports. Ensures that all code is well structured, includes sufficient documentation, and is easy to maintain and reuse.
• Partners with internal clients to gain a basic understanding of business functions and informational needs. Gains working knowledge in tools, technologies, and applications/databases in specific business areas and company-wide systems.
• Participates in all phases of solution development. Explains technical considerations at related meetings, including those with business clients.
• Experience building specified AWS cloud architecture and supporting services and technologies (Eg: Glue, EMR, Redshift, Step Functions, Foundational Services like IAM, Cloud Watch, Cloud formation, Lambda, Secrets Manager, Sagemaker).
• Experience building Spark data processing applications (Python, Pyspark).
• Experience with Apache airflow ( + iceberg preferred )
• Experience with SQL development and Tableau Reporting ( Preferred ) .
• Experience leveraging / building Splunk dashboards.
• Experience with CI/CD pipeline tools like Bamboo, Bitbucket, Git hub and Terraform scripts / CFS .
• Tests code thoroughly for accuracy of intended purpose & Regression testing . Reviews end product with the client to ensure adequate understanding. Provides data analysis guidance as required.
• Provides tool and data support to business users and fellow team members.
• Good to have : Experience with test automation and test-driven development practice

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Roles and Responsibilities:

• Snowflake Development:
  • Design and implement Snowflake-based data warehouses.
  • Develop and optimize SnowProcs, SnowSQL scripts, and advanced Snowflake features.
• Data Pipeline Design:
  • Build and maintain ETL/ELT workflows for large-scale data ingestion and transformation.
• Performance Optimization:
  • Tune queries, manage compute resources, and optimize storage for cost and speed.
• Programming & Automation:
  • Use Python and SQL for data engineering tasks and automation.
• Collaboration :
  • Work closely with data architects, analysts, and business teams to deliver high-quality data solutions.

Snowflake Expertise:

• Hands-on experience with Snowflake DW, SnowSQL, and stored procedures.

Programming:

• Proficiency in SQL and basic Python scripting.

Data Processing:

• Familiarity with ETL/ELT concepts and frameworks like Airflow or similar.

Database Management:

• Understanding of schema design and relational database principles.

Preferred Qualifications:

• Certifications : Snowflake SnowPro Core.
• Cloud Platforms : Exposure to AWS, Azure, or GCP.
• Soft Skills : Strong analytical and communication skills.

Experience:

• Should have 3+ years of Relevant Experience.

What we look for

• A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment

You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer:

• Support, coaching and feedback from some of the most engaging colleagues around
• Opportunities to develop new skills and progress your career
• The freedom and flexibility to handle your role in a way that’s right for you

Test case design:

• Good understanding about the various testing touch points in a model development lifecycle
• Participate in discussions with team members to understand testing needs.
• Support the development of test cases based on project requirements.
• Ability to define test cases to validate input data, Model functional performance, Model response etc

Test Execution:

• Execute manual tests for AI models and document results.
• Prior experience in performing AI specific testing methods like Pairwise testing, Metamorphic testing, Back-to-Back testing, Bias Testing, Drift testing etc
• Knowledge on responsible AI testing
• Knowledge on explainability testing tools (e.g., LIME, SHAP etc.)
• Assist in running automated tests and analysing their outcomes.

Model Validation Support:

• Help validate AI models against performance metrics such as accuracy and recall.
• Learn to conduct exploratory testing to identify potential issues.
• Exposure to testing LLM models

Data Quality Checks:

• Collaborate with data teams to ensure the quality of datasets used in testing.
• Participate in data validation activities to maintain data integrity.
• Prior experience in performing various data validation activities like data collection/generation, data augmentation, Exploratory data analysis, data bias and privacy etc

Documentation:

• Document test results and maintain clear records of defects found during testing.
• Prepare summary reports of testing activities for review.

Learning and Development:

• Stay informed about AI testing best practices and tools.
• Seek guidance from senior engineers to improve testing skills and knowledge.

Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree preferred.

Experience:

• 1-4 years of experience in software testing / development with exposure to Python
• 1+ years in testing on AI/ML applications.

Technical Skills:

• Basic understanding of AI/ML concepts and algorithms.
• Familiarity with programming languages such as Python or Java is a plus.
• Exposure to software testing principles and practices.
• Strong analytical and problem-solving skills.
• Attention to detail and a commitment to quality.
• Experience with testing tools (e.g., Selenium, PyTest) through coursework or internships.
• Knowledge of version control systems (e.g., Git) is a plus.
• Experience with Agile methodologies is a bonus.

Your key responsibilities

• Design and deliver AI-driven solutions for Swiss Financial Services clients, focusing on Agentic AI, intelligent automation, AI enablement, data engineering, and scalable application development.
• Translate business requirements into robust technical architecture, ensuring scalability, security, and compliance with financial industry standards.
• Contribute to business development activities, including preparing client proposals and supporting internal strategic initiatives.
• Contribute to knowledge sharing within the Technology Consulting team.
• Collaborate with local and international EY teams across geographies and industries to deliver high-impact client solutions.

What we look for

• MSc or PhD in data science, computer science, mathematics, natural sciences, or engineering.
• Minimum 2 years of relevant experience in banking, insurance or asset management, either in-house or as a consultant.
• Interest and experience in AI domains such as Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), and Machine Learning.
• Familiarity with programming paradigms such as object-oriented and functional programming, as well as data structures, algorithms, and software engineering best practices.
• Proficiency in scripting / programming languages such as Python, PySpark, SQL, C#, Java or similar.
• Hands-on experience with data platforms such as Databricks, Palantir Foundry, Snowflake or Microsoft Fabric.
• Familiarity with the Microsoft technology stack, especially Azure services for data and AI.
• Flexible and proactive mindset, strong problem-solving abilities, and excellent communication skills.
• Ability to perform in collaborative, cross-functional team environments.
• Full professional proficiency in English and German or French; additional languages are a plus.
• Willingness to travel within Switzerland and occasionally abroad to collaborate with international teams and clients.

What’s in it for you

Here at EY, you’ll have the chance to build a truly exceptional experience. We’ll empower you with the latest technology, surround you with high-performing teams, and provide the global scale and diverse and inclusive culture you need to discover your full potential. Through our coaching and training programs, you’ll develop the skills you need to stay relevant today and, in the future, – all while building a network of colleagues, mentors, and leaders who will be on the journey with you at EY and beyond.

Click to find out more about our benefits and corporate social responsibility.

Roles and Responsibilities:

• 5+ years of experience in Power BI development and data visualization.
• Strong proficiency in DAX, Power Query, and data modelling
• Advanced SQL skills for data extraction and transformation.
• Experience with ETL processes and integrating data from multiple sources.
• Knowledge of cloud platforms (Azure/AWS) and data warehousing concepts.
• Excellent communication and stakeholder management skills.

Nice to Have

• Familiarity with Python or R for advanced analytics.
• Knowledge of Power BI administration and Row-Level Security (RLS).

Experience :

Should have 5+ years of Relevant Experience.

What we look for

You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer:

• Support, coaching and feedback from some of the most engaging colleagues around
• Opportunities to develop new skills and progress your career
• The freedom and flexibility to handle your role in a way that’s right for you

Experience: 10+ years

Cloud:Microsoft Azure

AI/ML, Generative AI, Agentic AI, RDBMS, Vector Databases

Responsibilities:

• Lead and manage a team of AI/ML engineers and data scientists in developing innovative machine learning solutions.
• Collaborate with clients to understand their requirements and deliver tailored AI/ML solutions.
• Design, implement, and optimize machine learning models using Python and relevant libraries.
• Oversee project timelines, resource allocation, and team performance to ensure successful project delivery.
• Utilize Azure cloud services for deploying and scaling AI/ML applications.
• Mentor team members and foster a culture of continuous learning and improvement.

Technical Knowhow:

• 10+ years of experience in AI/ML, with a strong focus on machine learning, GenAI, and Agentic AI.
• Proven experience in managing teams and client relationships.
• Proficiency in Python and along with experience in implementing frameworks such as LangChain, LangGraph, Autogen
• Knowledge of database technologies (SQL, NoSQL) and data management practices.
• Familiarity with Azure cloud services and deployment strategies.