Apply on Kit Job: kitjob.in/job/42urrg

Job Title: Data Engineer (Marketing Intelligence) Location: Remote Commitment: (25–30 hours/week) Experience: 3+ Years
Role Overview We are looking for a specialized Data Engineer to bridge the gap between fragmented marketing platforms and our central data warehouse. This is not a marketing or campaign management role. This is a technical engineering role focused on the extraction, transformation, and loading (ETL/ELT) of complex marketing datasets. The ideal candidate has spent significant time "under the hood" of GA4, Meta, and Tik Tok APIs, ensuring data integrity for high-stakes analytics.
Key Responsibilities Pipeline Development: Design and maintain robust data pipelines to ingest data from GA4 (Big Query Export), Meta Ads API, Tik Tok Ads, and Google Tag Manager . Data Modeling: Transform raw marketing JSON/API outputs into clean, queryable schemas (Star/Snowflake) within the Data Warehouse. Schema Mapping: Resolve data discrepancies between platforms (e.g., reconciling click-through data from Meta vs.



session data in GA4). API Management: Handle authentication (OAuth), rate-limiting, and pagination for various marketing vendor APIs. Quality Assurance: Monitor pipeline health to ensure marketing dashboards reflect real-time accuracy. Technical Requirements Experience: 3+ years in Data Engineering with at least two dedicated Marketing Analytics projects in your portfolio. Stack: Proficiency in Python or Node.js for API scripting and advanced SQL for data transformation. Marketing Tech Proficiency: GA4: Deep understanding of the Big Query export schema. GTM: Knowledge of how server-side tagging impacts data collection. Social APIs: Hands-on experience with Meta Graph API and Tik Tok Ads API. Cloud/Warehousing: Experience with Snowflake, Big Query, or Redshift. ETL Tools: Familiarity with Fivetran, Airbyte, or dbt is a significant plus.

Apply on Kit Job: kitjob.in/job/42urrg

📌 Data engineer (marketing intelligence) (Nellore)
🏢 Mydata Insights
📍 Nellore