Data Engineer

🕒 September 15

🇮🇳 India – Remote

💵 ₹1.6M - ₹2.2M / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 29%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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PORCH 💚

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2022

💼 Consulting

🏥 Healthcare

🏨 Hospitality

Consulting • Healthcare • Hospitality

PORCH 💚 is a next-generation insurance company that provides comprehensive software and services to various home service industries. It streamlines interactions for home professionals, utility customers, realtors, and homeowners by offering tools for inspections, moving, mortgage processes, and home maintenance. Through its partnerships, Porch enhances the home buying experience by simplifying service requests, onboarding new customers for warranty and insurance companies, and assisting with home improvement projects.

📋 Description

• Build and monitor robust ETL/ELT pipelines using BigQuery, Dataflow, and Cloud Composer • Develop high-performance SQL scripts for complex data transformations across multiple datasets • Contribute to the design and refinement of Star/Snowflake data models • Identify and resolve data pipeline bottlenecks, optimizing query speed and cloud cost-efficiency • Partner with Data Analysts, Data Scientists, and Actuaries to translate business logic into technical specifications • Participate in peer code reviews and maintain data warehouse documentation

🎯 Requirements

• 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 window functions, recursive CTEs, query plan analysis, and writing DDL • Strong grasp of partitioning, clustering, and data warehousing lifecycle management • Excellent written and communication skills in English language • Proven experience working with US based business teams • A quiet, dedicated workspace • Reliable internet connection with a minimum speed of 50 Mbps

🏖️ Benefits

• Medical insurance • Accident insurance • Retiral benefits • 12 company-paid holidays • 2 flexible holidays • Privilege/earned leave • Casual/sick leave • Paid maternity and paternity leaves • Weekly wellness events

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