Tekskills Inc
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Chandigarh · On-site · 4-7 Yrs · Aug 21
Information Technology Support Services · 501 to 1000 Employees · Princeton, US
Established in 2003 as a global design and development company with 11 offices around the world. As a global consulting and development company, we partner with clients across North America, Europe, Asia, and the Middle East in their digital transformation journeys. We have a 20-year history of creating and supporting mission-critical systems. The company revenues are up 26% year over year. Over 1000+ of our experts have the experience and expertise to develop solutions that optimize and manage the cloud, transform businesses, create collaborative enterprise solutions, and manage IT infrastructure.
Hiring: Engineering
What employees say
+ Good company good management I learnt a lot
− Nothing all are good all are good
More reviews on the company profile.
Interview experience · Software Engineer
it was good interview they asked question about spring boot java and mysql they asked question about spring boot and java basic and stream api and hashmap and sql queries
Average difficulty · Mumbai · 11 reports
More interview insightsJob description
Overview
- We are looking for experienced GCP + Guidewire professionals with strong data engineering expertise to support insurance domain initiatives.
Responsibilities
- Work on Guidewire Insurance Suite / PolicyCenter integrations
- Develop and maintain data pipelines and ETL frameworks
- Design and optimize solutions on Google Cloud Platform (GCP)
- Work with BigQuery, Pub/Sub, Cloud Run, Cloud Logging
- Write efficient Python and SQL code for data processing
- Ensure high-quality, scalable, and secure data solutions
- Collaborate with business and technical teams in insurance domain
Qualifications
- Robust hands-on experience in GCP (BigQuery, Dataflow, Composer, Cloud Functions, etc.)
- Strong proficiency in Python & SQL
- Knowledge of CI/CD and cloud-based deployments (preferred)
- Relevant experience in Guidewire + GCP
- Guidewire
- GCP
- BigQuery
- Dataflow
- Cloud Run
- Pub/Sub
- Python
- SQL
- ETL
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