What You Will Do As A Data Warehouse Engineer
Pipeline Development: Build and monitor robust ETL/ELT pipelines using BigQuery, Dataflow, and Cloud Composer.
Expert SQL Execution: Develop high-performance SQL scripts for complex data transformations, ensuring accuracy across multiple datasets.
Schema Management: Contribute to the design and refinement of data models (Star/Snowflake) to support evolving business requirements in the insurance and SaaS space.
Performance Tuning: Proactively identify and resolve bottlenecks in data pipelines, optimizing for both query speed and cloud cost-efficiency.
Cross-Functional Collaboration: Partner with Data Analysts, Data Scientists, and Actuaries to translate business logic—such as churn rates or claims ratios—into technical specifications.
Code Quality: Participate in peer code reviews and maintain documentation to ensure the long-term health of our data warehouse.
What You Will Bring As A Data Warehouse Engineer
3+ years of professional data engineering experience, specifically within cloud-based data warehouses.
Solid experience with the Google Cloud ecosystem, including BigQuery, Cloud Storage, and IAM best practices.
Expert-level SQL proficiency, including comfort with window functions, recursive CTEs, query plan analysis, and writing DDL.
Strong grasp of partitioning, clustering, and data warehousing lifecycle management.
Detail-oriented, taking pride in data integrity and “clean” code.
Collaborative, enjoys working as part of a high-functioning team and is comfortable contributing to shared goals.
Adaptable, able to pivot between building new features and troubleshooting legacy pipelines as business needs change.
Excellent written and communication skills in English language.
Proven experience working with US based business teams.
Working Hours: 8 Hours (Excluding breaks) 4 Core US Hours Overlap (7:30pm–11:30pm IST) 4 flexible hours (IST)
Workspace: A quiet, dedicated space to work, and a reliable internet connection with a minimum speed of 50 Mbps.
What You Will Get As A Porch Group Team Member
Pay Range*: ₹1,575,000 – ₹2,205,000 INR Annually
Please know your actual pay at Porch will reflect a number of factors among which are your work experience and skillsets, job related knowledge, alignment with market and our Porch employees, as well as your geographic location.
Our benefits package will provide you with comprehensive coverage for your health, life, and financial wellbeing.
Our benefits include medical insurance, accident insurance and retiral benefits
Our wellness programs include 12 company-paid holidays, 2 flexible holidays, privilege/earned leave, casual/sick leave, paid maternity and paternity leaves, and weekly wellness events.
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What’s next?
Submit your application below and our Talent Acquisition team will be reviewing your application shortly! If your resume gets us intrigued, we will look to connect with you for a chat to learn more about your background, and then possibly invite you to have virtual interviews. What's important to call out is that we want to make sure not only that you're the right person for us, but also that we're the right next step for you, so come prepared with all the questions you have!
Porch is committed to building an inclusive culture of belonging that not only embraces the diversity of our people but also reflects the diversity of the communities in which we work and the customers we serve. We know that the happiest and highest performing teams include people with diverse perspectives that encourage new ways of solving problems, so we strive to attract and develop talent from all backgrounds and create workplaces where everyone feels seen, heard and empowered to bring their full, authentic selves to work.
Porch is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable laws, regulations, and ordinances.