Cloud Engineer
At a glance
Mid-level Cloud role at Fa Ewjt Saasfaprod1. Gurugram · part-time.
Pay not stated Cloud Engineer salary
devopsroles summary, based on the employer's posting.
What you'll do
- Build cloud solutions and tune infrastructure for cost, speed, security and compliance
- Gather requirements from actuarial, underwriting, finance and business teams, then turn them into technical specifications
- Automate reporting, data preparation, reconciliation and validation to reduce manual work and turnaround time
- Move data assets, analytical code, reports and workflows across platforms, including AWS environments
- Create and improve data pipelines for ingesting, transforming and delivering analytical datasets
What you bring
- A relevant bachelor's degree and two to six years in a related role
- Experience in data analytics, data engineering or a closely related area, ideally in insurance or financial services
- Strong SQL, Python and data manipulation skills, plus experience with cloud platforms such as AWS
- Knowledge of CI/CD, GitHub and analytics deployment practices, with experience in data migration or cloud modernization
Who this fits
This part-time, hybrid role is based in Gurugram. It suits someone who can work with analytical and business teams to modernize data workflows and automate manual processes.
From the employer
Cloud Engineers design, deploy, and manage cloud infrastructure solutions. Responsibilities include configuring cloud services, optimizing performance, and ensuring security. You will collaborate with other IT professionals to integrate cloud solutions with existing systems. Proficiency in cloud platforms and strong problem-solving skills are required.
Highly motivated data and analytics engineer to support actuarial and business stakeholders by delivering scalable data solutions, automating manual processes, and driving modernization initiatives across analytics platforms. The role will involve close collaboration with actuarial teams, underwriters, business stakeholders, data engineers and technology teams to streamline data workflows, migrate analytical assets, and improve operational efficiency through automation and cloud-enabled solutions.
The ideal candidate should possess strong, analytical skills, experience working with large datasets, cloud platforms, reporting, tools, and a passion for transforming manual processes into automated and scalable solutions.
Design and implement cloud solutions, Optimize cloud infrastructure for performance and cost efficiency, Ensure cloud solutions meet security and compliance standards, Provide technical support for cloud environments, Collaborate with stakeholders to address cloud needs.
- Collaborate with actuarial, underwriting, finance, and business stakeholders to understand analytical requirements and translate them into technical solutions
- conduct requirement gathering sessions, deine and document functional and technical specifications
- identify opportunities to automate manual reporting, data preparation, reconciliation and validation processes
- design and implement automated workflows to improve operational efficiency and reduce turnaround times
- develop reusable frameworks and standardized processes for recussing analytical activities
- drive continuous improvement initiatives focused on reducing manual effort and enhancing data reliability
- Migration of data assets, analytical codes, reports, and workflows across platforms and technologies
- support migraiton initiatives involving AWS, data warehouses and reporting tools
- analyze existing processes and recommend modernization approaches to improve scalability and maintainability
- build and maintain robust data pipelines for ingestion, transformation, and delivery of analytical datasets
- optimize data processing and storage strategies to improve performance and scalability
- Bachelor Degree in relevant field with 2 - 6 years of relevant experience
- Experience in Data analytics, data engineering or related roles
- Experience working with insurance domain or financial services
- Strong SQL, python and data manipulation skills
- Experience with cloud platforms preferably AWS
- Knowledge of CI/CD and analytics deployment best practices, github
- Experience with data migrations, platform modernization, or cloud transformation initiatives
- excellent problem solving and communication abilities
- Preffered
- Experience in Property & Casualty, Life, ReInsurance domains
- Experience with SAS, R, PySparK, VBA
- experience with ELT.ETL tools and modern data platforms
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