Data Engineer
Porch (company site, opens in a new tab)3+ yrsRemoteDirect career pageEst. 15.75–22.05 LPA
Posted on 15 Sept
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Job description
Structured overview of role & requirements
About This Role
- Build, optimize, and maintain ETL/ELT pipelines on Google Cloud (BigQuery, Dataflow, Cloud Composer) to support business intelligence and reporting.
- Develop and tune complex SQL scripts and manage data warehouse schemas (Star/Snowflake) to ensure data integrity and performance across SaaS and insurance domains.
- Collaborate with data teams to translate business metrics into technical data solutions and maintain high-quality code and documentation.
Minimum Requirements
- 3+ years professional experience in data engineering with cloud-based data warehouses.
- Expert proficiency in SQL, including advanced functions, query plan analysis, and DDL scripting.
- Experience with Google Cloud ecosystem: BigQuery, Cloud Storage, IAM best practices.
- Must have reliable workspace with 50 Mbps internet and ability to work 8 hours daily including 4 core US overlap hours (7:30pm–11:30pm IST).
Ideal Candidate Profile
- Experienced individual contributor comfortable handling both new feature development and legacy pipeline troubleshooting in a SaaS insurance context.
- Strong in optimizing data pipelines for performance and cost efficiency within GCP environment.
- Capable of working remotely with US-based business teams and effectively communicating complex technical concepts in English.