Data Engineer

Job Details

Job Title: Data Warehouse Engineer

Location: India

Workplace Type: Remote

Job Summary

The future is bright for the Porch Group, and wed love for you to be a part of it as our Data Warehouse Engineer with the Data team.

We are seeking a Data Warehouse Engineer to join our data team as a strong individual contributor. In this role, you will be responsible for building, optimizing, and maintaining the data pipelines that power our business intelligence and reporting.

You arent just writing code; youre ensuring our data reflects the complex realities of our SaaS and insurance operations. You will work closely with lead architects to implement scalable solutions and serve as a subject matter expert in SQL and database performance.

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.

Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.