Unlocking Market Insights: Lead Data Engineer Role

5 days ago

Malappuram, Kerala, India beBeeDataEngineer Full time ₹ 1,00,00,000 - ₹ 1,50,00,000
Job Description

As a Marketing Data Engineer, you will be responsible for extracting valuable data from marketing platforms to inform business decisions. Your primary focus will be on reverse-engineering APIs, exploiting beta features, and capturing ephemeral data to provide actionable insights.

",">The Mission
  • Reverse-engineer APIs across Meta, Google, TikTok, and others to extract hidden attribution data, auction signals, and algorithmic behavior.
  • Exploit beta features and undocumented endpoints to unlock advanced data streams.
  • Capture ephemeral data before it disappears - attribution snapshots, pacing drift, algorithm shifts.
  • Build real-time monitoring datasets to detect anomalies, pacing issues, and creative decay.
  • Scrape competitor websites and dissect tracking logic to reveal platform strategies.
  • Build granular spend and performance datasets with dayparting, marginal ROAS, and cost efficiency metrics.
  • Develop lookalike audience models enriched with seed performance, overlap scores, and fatigue indicators.
  • Create auction intelligence datasets with hour/geo/placement granularity, bid behaviors, and overlap tracking.
  • Design optimization datasets for portfolio performance, campaign cannibalization, and creative lifecycle decay.
  • Extract machine learning signals from Meta Advantage+, Smart Bidding configs, and TikTok optimization logs.
  • Build competitive intelligence datasets with SOV trends, auction pressure, and creative benchmarks.
  • Extract structured data from advanced features like predictive analytics, customer match, and A/B testing tools.
  • Build multimodal datasets (ad copy, landing pages, video) ready for machine learning workflows.
  • Enrich historical marketing data using automated pipelines and AI-powered data cleaning.
  • Build comprehensive GA4 datasets using precise tagging logic and event architecture.
  • Unify data from Firebase, Klaviyo, Tealium, and offline sources into full-funnel CDP datasets.
  • Engineer identity resolution pipelines using hashed emails, device IDs, and privacy-safe matching.
  • Map cross-device customer journeys with detailed attribution paths and timestamp precision.
  • Design and maintain scalable, semantic-layered Snowflake datasets with historical tracking and versioning.
  • Use S3 and data lakes to manage large-scale, unstructured data across channels.
  • Implement architectures suited for exploration, BI, real-time streaming, and ML modeling - including star schema, medallion, and Data Vault patterns.
  • Build dashboards and tools that reveal inefficiencies, scaling triggers, and creative performance decay.
",">Requirements
  • 3+ years as a Data Engineer with deep experience in MarTech or growth/performance marketing.
  • Advanced Python for API extraction, automation, and orchestration.
  • JavaScript proficiency for tracking and GTM customization.
  • Expert-level experience with GA4 implementation and data handling.
  • Hands-on experience with Snowflake, including performance tuning and scaling.
  • Comfortable working with S3 and data lakes for semi/unstructured data.
  • Strong SQL and understanding of scalable data models.

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