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.

Requirements

• 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.