Senior Marketing Data Engineer

7 days ago

Dindigul, Tamil Nadu, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

About the Role

We are seeking a Data Engineer with exceptional skills to spearhead data extraction and analytics. This role involves leveraging marketing platforms to extract valuable insights, crafting datasets that fuel advanced business decision-making, and driving growth through data-driven strategies.

The Mission

Your focus will be on uncovering hidden features within marketing platforms and building intelligence layers that enable seamless scaling and precision.

Key Responsibilities

  • Data Extraction & Monitoring
    • Leverage APIs across various platforms to extract attribution data, auction signals, and algorithmic behavior.
    • Uncover 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.
    • Analyze competitor websites to reveal platform strategies.
  • Data-Driven Business Growth Datasets
    • Create 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.
    • Construct 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.
  • Advanced Data Engineering & AI
    • 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.
  • Unified Customer & Attribution Data
    • 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.
  • Snowflake Architecture & Analytics Enablement
    • Design and maintain scalable, semantic-layered Snowflake datasets with historical tracking and versioning.
    • 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.

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