Senior Business Intelligence Engineer

Job not on LinkedIn

🔥 3 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $118.8k - $205.6k / year

⏰ Full Time

🟠 Senior

📊 Business Intelligence Developer

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eBay

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1995

🛍️ eCommerce

👥 B2C

🏪 Marketplace

💰 Post-IPO Debt on 2022-11

eCommerce • B2C • Marketplace

eBay is a global eCommerce marketplace that allows individuals and businesses to buy and sell a wide variety of goods and services online. Founded in 1995, eBay provides a platform for auction-style sales as well as fixed-price listings, making it a go-to destination for shoppers looking for unique items. Its commitment to user experience includes features that enhance browsing, personalization of content, and seller tools to improve their market presence.

📋 Description

• Develop, launch, and support a scalable BI and reporting platform using ClickHouse as the primary analytical database. • Develop robust Python-based ETL and ELT pipelines to extract, transform, validate, and load data from various sources. • Optimize ClickHouse query efficiency for dashboards, reports, and high-volume reporting tasks. • Build dimensional models, reporting marts, and reusable data assets. • Work alongside business partners to grasp reporting requirements and provide actionable dashboards and reports. • Assist in developing frontend reporting experiences with Next.js, TypeScript, Node.js, Tremor, AG Grid, and open-source charting libraries. • Develop AI-enabled reporting features for natural language queries and business performance insights. • Maintain technical documentation, data dictionaries, pipeline documentation, runbooks, and reporting definitions.

🎯 Requirements

• 5+ years of experience in business intelligence engineering, data engineering, or data platform development. • Extensive experience with ClickHouse in live or nearly live settings. • Strong proficiency in Python for ETL, data processing, automation, and production data workflows. • Advanced SQL skills for analytical queries, joins, aggregations, window functions, and query tuning. • Experience in collecting and combining data from systems such as Elasticsearch, SQL Server, APIs, and file-based sources. • Ability to convert business requirements into scalable technical solutions through direct collaboration with business partners. • Excellent debugging and problem-solving skills for data pipelines, SQL queries, and reporting logic.

🏖️ Benefits

• full range of medical, financial, and/or other benefits • 401(k) eligibility • various paid time off benefits, such as PTO and parental leave