Swiss Re Hiring Drive 2024: Swiss Re Hiring Drive 2024 for its Junior Data Engineer. Swiss Re Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor’s degree. if you are interested, please apply as soon as possible.
Company Name: Swiss Re
Role: Junior Data Engineer
Location: Bangalore
Experience: 1-3 years
Qualification: Bachelor’s degree level or equivalent in Computer Science, Data Science or similar discipline
Batch: Any
Job Type: Full Time
Salary: 11.6 LPA (Expected)
Swiss Re Hiring Drive 2024
Job Description:
- As a Junior Data Engineer, you will be responsible for implementing data pipelines and analytics solutions to support key decision-making processes in our Reinsurance business.
- You will become part of a project that is leveraging cutting edge technology that applies Big Data and Machine Learning to solve new and emerging problems for Swiss Re.
- You will be expected to gain a full understanding of the reinsurance data and business logic required todeliver analytics solutions.
Requirements:
- Bachelor’s degree level or equivalent in Computer Science, Data Science or similar discipline
- At least 1-3 years of experience working with large scale software systems
- Proficient in Python/PySpark
- Proficient in SQL (Spark SQL preferred)
- Experience working with large data sets on enterprise data platforms and distributed computing (Spark/Hive/Hadoop preferred)
- Palantir Foundry exposure is a plus.
- Experience with JavaScript/HTML/CSS a plus
- Experience working in a Cloud environment such as AWS or Azure is a plus
- Strong analytical and problem-solving skills
- Enthusiasm to work in a global and multicultural environment of internal and external professionals
- Strong interpersonal and communication skills, demonstrating a clear and articulate standard of written and verbal communication in complex environments
Responsibility:
- Work closely with Product Owners and Engineering Leads to understand requirements, formulate solutions and evaluate the implementation effort.
- Develop and maintain scalable data transformation pipelines
- Implement analytics models and visualizations to provide actionable data insights
- Evaluate new capabilities of the analytics platform, develop prototypes and assist in drawing conclusions about the applicability to our solution landscape.
- Collaborate within a global development team to design and deliver solutions.
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