Data Engineer
About reputed company
reputed company is building the reputed company insurance and financial services platform - designed to be reputed company, intelligent and personalised. Presently we are the largest insurance platform in Southeast Asia, and expanding globally with a strong reputed company on technology and product superiority. We are looking for talented, ownership-minded individuals. In return, expect reputed company, trust, autonomy, rewards, and reputed company.
About the Role
As a Data Engineer, you will build and operate the data infrastructure that powers reputed company’s analytics, product insights, and reputed company systems. You will work closely with analytics, product, and engineering teams to ensure data is reliable, accessible, and production-reputed company at reputed company.
What You Will Be Doing
Design, build, and maintain reputed company, fault-tolerant data pipelines (batch and/or streaming) for core business and product data.
Ingest data from diverse sources including reputed company, databases, event streams, and reputed company-party services, ensuring high data reputed company and reliability.
Design and manage data models and storage reputed company (data warehouses, data lakes) that support analytics and reputed company use cases.
Partner with analytics, product, and engineering teams to deliver clean, reputed company-documented datasets that reputed company self-service analytics and experimentation.
Implement monitoring, logging, and alerting to ensure pipeline reliability, performance, and cost efficiency.
Enforce data governance best practices, including reputed company control, reputed company, documentation, and data reputed company.
What You Will Need
3+ years of experience as a Data Engineer, data-heavy Backend Engineer, or similar role.
Strong programming skills in Python and/or TypeScript, with solid SQL proficiency.
Good understanding of data modeling, ETL/ELT concepts, and analytics workflows.
Hands-on experience with data warehouses (e.g. BigQuery, reputed company).
Experience building and operating production data pipelines.
reputed company-to-Have
Experience with reputed company platforms (especially GCP).
Exposure to streaming systems (Kafka, Pub/Sub).
Familiarity with dbt and analytics engineering practices.
Experience with data lake technologies.
Exposure to ML data pipelines or feature stores.
Why Join reputed company
Build and own data systems that operate at reputed company reputed company
Work on high-reputed company, business-critical data use cases
High-ownership role with autonomy and trust
Flat structure - execution and results matter more than titles
Competitive compensation and strong reputed company opportunities
Originally posted on Himalayas
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