Senior Software Engineer, Data Platform

Job not on LinkedIn

🕒 April 21

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 45%

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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G-P

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

🏥 Healthcare

⚖️ Legal

Consulting • Healthcare • Legal

G-P is a leading global company specializing in Employer of Record (EOR) solutions, providing businesses with the tools to hire, onboard, and manage teams in over 180 countries quickly and compliantly. The company offers a comprehensive suite of global employment products under its G-P Meridian Suite™, including services for hiring employees and contractors, managing global payroll, time management, expenses, HR support, and employee assistance. G-P is recognized for its compliance expertise, featuring the world's first AI-based HR compliance advisor, G-P Gia™, which delivers AI-driven advice and solutions for HR compliance challenges. With a strong network of partners and industry-leading EOR SaaS solutions, G-P supports HR, legal, and financial compliance globally. Their offerings are designed to simplify the employment lifecycle and accelerate global business expansion.

📋 Description

• Lead the design and implementation of internal SDKs and self-service frameworks • Shift from "pipeline building" to "platform engineering," creating reusable patterns for batch and real-time event processing • Take full ownership of the cost-effectiveness of the Databricks ecosystem • Ensure the platform remains performant as volume grows • Implement Schema-on-Write validation and Data Contracts to ensure data meets strict quality standards • Partner with the Data Architect & Data Stewards to enforce data privacy and security standards • Champion the use of AI-assisted development tools to accelerate the engineering lifecycle • Mentor engineers on distributed computing best practices

🎯 Requirements

• 5+ years of experience building and operating production-grade data systems at massive scale • Deep, hands-on mastery of the Databricks/Spark ecosystem (Delta Lake, DLT, Spark UI debugging, and performance tuning) • Proven track record of building Real-time/Streaming architectures (Spark Structured Streaming, Kafka, or Kinesis) as a core production requirement • Experience managing and optimizing cloud costs in a high-growth environment • Experience building APIs, tools, or frameworks used by other internal engineering teams

🏖️ Benefits

• generous paid parental leave • flexible time off • spending accounts • medical insurance • dental insurance • vision insurance • sabbatical after 5 years • annual bonus eligibility based on performance