Senior Data Engineer

🔥 14 hours ago

🇮🇳 India – Remote

💵 ₹2.5M - ₹3.5M / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.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, ensuring accuracy across multiple datasets • Contribute to the design and refinement of Star/Snowflake data models • Identify and resolve bottlenecks in data pipelines, optimizing query speed and cloud cost-efficiency • Partner with Data Analysts and stakeholders to translate business logic, such as churn rates or claims ratios, into technical specifications • Participate in peer code reviews • Maintain documentation for the long-term health of the data warehouse • Perform other data engineering-related duties or projects as assigned

🎯 Requirements

• 5+ 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, and query plan analysis • Strong grasp of indexing, partitioning, clustering, and data warehousing lifecycle management • Familiarity with metrics common to SaaS (MRR, Churn) or Insurance (Premiums, Claims, Actuarial data) is highly valued • Excellent written and communication skills in the English language • Proven experience working with US based business teams • Ability to work within core US business hours / time zone expectations - Eastern Standard Time (EST) overlap • A quiet, dedicated space to work • Reliable internet connection with a minimum speed of 50 Mbps • Candidates that have worked in IT/Data for a United States based publicly owned company preferred • Detail-oriented, with pride in data integrity and clean code • Collaborative, enjoys working as part of a high-functioning team, and comfortable contributing to shared goals • Adaptable, able to pivot between building new features and troubleshooting legacy pipelines as business needs change

🏖️ Benefits

• Comprehensive coverage for health, life, and financial wellbeing • 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