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Senior Business Intelligence Engineer

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Logo of eBay

eBay

10,000+ employees

🛍️ eCommerce

🏪 Marketplace

💰 $1.1G Post-IPO Debt - eBay on 2022-11

eCommerce • Marketplace

eBay is a global online marketplace that connects buyers and sellers through auctions and fixed-price listings. The platform hosts consumer-to-consumer and business-to-consumer transactions across a wide range of categories, including collectibles and live-streamed commerce (eBay Live). eBay runs promotional events and charity auctions, maintains a worldwide office footprint with hybrid work options, and emphasizes community and economic opportunity for its users.

📋 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 understand 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 • Develop natural-language queries over approved datasets and reports • Build AI-assisted explanations of metrics, trends, anomalies, and report logic • Develop metadata-aware report search and documentation lookup • Create AI-assisted SQL or query generation with validation and guardrails • Automate report commentary and business insight generation • Develop data quality explanations and anomaly investigation workflows • Build internal AI tools for ETL code, tests, documentation, and reporting component development • Collaborate with business, engineering, and product teams on high-impact initiatives

🎯 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, including analytical queries, joins, aggregations, window functions, and query tuning • Experience collecting and combining data from 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 • Experience with Node.js, Next.js, TypeScript, React, or modern frontend development preferred • Experience crafting APIs or backend services for reporting and analytics preferred • Experience with Airflow, Prefect, Dagster, or custom Python schedulers preferred • Knowledge of Elasticsearch query patterns, indexing concepts, and large-scale search/log analytics data extraction preferred • Openness to learning TypeScript, JavaScript, and current frontend technologies if not already familiar • Remote roles are not eligible for U.S. visa sponsorship

🏖️ Benefits

• Target bonus • Restricted stock units (as applicable) • Medical benefits • Financial benefits • Other benefits • 401(k) eligibility • Paid time off (PTO) • Parental leave • Ongoing education • Remote work

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