Talent500
Website:
talent500.co
Job details:
Talent500 is hiring for one of its clients.
Who are we:
Core Insurance Platforms (CIP) is Zurich’s global capability responsible for building, running, and evolving core insurance technology. We set a unified, scalable operating model—covering governance, standards, architecture, service delivery, and reuse—so our business units can deliver at speed and scale.
CIP is the strategic steward of Zurich’s Guidewire ecosystem, aligning platform roadmaps to business strategy while driving stability, modernization, reduced supplier dependency, and long term cost efficiency.
India delivery center is one of our global delivery and capability hub. We bring together experts in AI, engineering, analysis, quality, and architecture to deliver product & process solutions, application run services, change and transformation initiatives, and centralized platform services across both on prem and Guidewire Cloud environments. Our teams operate from multiple global delivery centers, supporting Zurich’s business units worldwide.
ETL Developer:
- Zurich is currently looking for a ETL Developer. This position will be part of an Enterprise Data Management Team that will be responsible for leveraging the value of the data assets throughout the organization and will facilitate the development/implementation of the desired end-state data environment. The Enterprise Data Management Team will also be responsible for improving the organization's decision-making capabilities by providing high quality, transparent data within the data warehouse and associated data marts.
- The talented ETL Developer will have experience working with very large data sets, designing, developing and debugging Informatica processes that populate Data warehouses on (MPP) platforms. The ETL Developer will also have good knowledge of Big Data technologies and cloud native data tools with the ability to share ideas among a collaborative team.
- In addition, the ETL Developer is expected to use AI enabled tools (for example, for code generation, testing, documentation or incident analysis) where appropriate to improve the speed, quality and reliability of data solutions.
- In this role, she/he will participate on core teams identifying and validating data scenarios within the Enterprise. The candidate will need to demonstrate the ability to develop actionable plans, recognize opportunities and be able to report out on on-going progress. This role will require technical documentation abilities and team coordination skills.
- Small expectations block
AI related expectations:
- Use AI supported tools, where available, to assist with ETL development, testing, documentation and issue analysis, while maintaining full accountability for the final results.
- Identify opportunities to reduce manual, repetitive work in data pipelines through automation and AI assisted solutions, and share these ideas with the team.
- Basic Qualifications:
- Bachelor’s Degree in Computer Science or Mathematics/Statistics and 6 or more years of experience in the Data Engineering area
- High School Diploma or Equivalent and 8 or more years of experience in the Data Engineering area
- Zurich Certified Insurance Apprentice including an Associate Degree in Computer Science or Mathematics/Statistics and 6 or more years of experience in the Data Engineering area
- 5 or more of experience in Enterprise Data Management
- Experience with ETL Architecture, ETL Design and End-to-End ETL Development work
- Experience in scripting languages
- Experience with data transformation and aggregation tools
- Experience in data analysis, data interrogation or data profiling
Must Have Skills:
- Experience with Informatica PowerCenter
- Experience with processing large datasets on MPP platforms
- Strong SQL and stored procedures skills
- Experience in scripting languages including Shell and Perl
- Experience in job scheduling tools like AutoSys
- Exposure to replication tools like Qlik, Data Propagator
- Exposure to Dev/Ops
- Exposure to Azure Cloud Platform and Cloud Data Services like Azure Data Factory, Databricks, snowflake and ELT tool like DBT
- Strong verbal and written communication skills
- Ability to work independently and interact effectively with business as part of a team
- Insurance Domain knowledge and experience
AI related skills and mindset:
- Exposure to or interest in using AI enabled tools (e.g. for code generation, test case creation, documentation support or log/incident analysis) in the software development lifecycle
- Ability to validate and refine AI generated outputs to ensure they meet Zurich’s quality, security and compliance standards
- Curious and proactive mindset towards adopting new AI capabilities to improve efficiency and data quality in day to day work
Candidate Data Privacy Notice:
Applicability of This Notice This job posting relates to opportunities with Zurich Digital International Private Ltd. (“Zurich”) and is published with the support of ANSR Inc., (“ANSR”) an authorised recruitment service provider engaged by Zurich for its hiring activities.
Participation in the Recruitment Process : When you apply for this role, personal data provided as part of your application (such as your name, email address, contact details, address, financial information, background information, medical history, and details of previous employers/employment) is collected for the purposes of recruitment and selection and may be reviewed by Zurich, and transferred/disclosed to Zurich’s affiliates, subsidiaries, and related entities and ANSR (“Transferees”), solely for recruitment and selection purposes (in accordance with their respective privacy policies).
The Transferees maintain at least the same level of protection for your data as maintained by Zurich, and do not further transfer/disclose/share or publish your data.
For information on how your personal data is processed by ANSR, including your rights and how to contact the relevant data protection office.
You understand and acknowledge:
- You have the option not to provide your data (in which case we may not be able to process your application);
- You have the option to review, correct/amend your data;
- You have the option to withdraw your consent from processing your data;
- Your data is retained until the purpose for its collection is served; and
- Zurich uses reasonable security measures to help protect against the unauthorized access, loss, misuse and alteration of the personal information under our control. However, no method of transmission over the internet, or method of electronic storage, is completely secure.
By submitting your interest in any of our vacancies, you consent to the collection, storage, transfer, disclosure, and processing of your personal information and/or sensitive personal data or information.
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