Job description
We are seeking a highly skilled Data Scraper to architect and execute high-volume data acquisition strategies.
The primary objective of this role is to deliver 20,000 verified , deduplicated , and enriched leads daily to support the Inbound Team's outreach efforts.
Key Responsibilities Data Acquisition & Engineering: Verification & Validation: Cleanse, verify, and enrich raw data using email verification platforms such as ZeroBounce, NeverBounce, MillionVerifier, and similar tools to achieve a 95%+ email deliverability rate.
Tool Mastery: Operate and optimize scraping workflows across Apollo.
io, LinkedIn Sales Navigator, Apify, Smart Lead Skrapp, Seamless, Apify, Lead411 and ancillary scraping tools.
Automation: Build and maintain autonomous scraping actors on Apify to ensure continuous data flow with minimal downtime.
Data Refinement & Delivery: Verification Protocol: Cleanse, verify (email syntax/MX records), and enrich raw data to ensure a 95%+ deliverability rate before handoff.
Daily Quota: Reliably engineer pipelines that yield a minimum of 20,000 refined leads per day for the Inbound team.
Lead Bank Management: Architect and maintain a structured Lead Bank (database/CRM integration) for historical storage, segmentation, and retrieval.
Coordination & Maintenance: Cross-Functional Sync: Collaborate daily with the Inbound Team Lead to align on ICP (Ideal Customer Profile) shifts and data priority tiers.
Bachelor's degree in Information Technology , Business Management or a related technical field.
2+ years of proven experience in data extraction, B2B lead generation, or large-scale data acquisition .
Lead Generation Platforms: Hands-on experience with Apollo.
io, LinkedIn Sales Navigator, Apify, Smartlead, Skrapp, Seamless.
AI, Lead411 , and similar prospecting platforms.
Data Verification & Enrichment: Experience with email verification and enrichment tools such as NeverBounce, ZeroBounce, MillionVerifier , or similar platforms to ensure high-quality, validated lead data.
Proxy & Anti-Bot Management: Hands-on experience with proxy providers such as Bright Data, Smartproxy, Oxylabs , rotating proxies, CAPTCHA handling, browser fingerprinting, and anti-bot mitigation techniques.
Advanced proficiency in Microsoft Excel for cleaning, analyzing, validating, and managing large datasets.
Data Processing: Strong understanding of data cleansing, deduplication, normalization, enrichment, and quality assurance processes for large-scale lead databases.
This job post has been translated by AI and may contain minor differences or errors.
