Data Engineer
Zensar Technologies
Key skills
What you’ll do
- Design and maintain an enterprise data lake using Google BigQuery, including schema design and partitioning strategies. Develop batch and real-time pipelines to sync data between BigQuery, Adobe CDP, and Oracle CDP for cross-channel reporting.
What they’re looking for
- Experience building data pipelines and working with large data models and optimized SQL queries. Proficiency in managing data flows between advertising platforms, intent data providers, and analytics tools like Looker.
Job description
Working experience on data pipeline, BigQuery, DataLake, working with large data modals & queries Built and maintained Google BigQuery as the enterprise data lake - designing schemas, partitioning strategies, data quality frameworks, and access controls Developed batch sync pipelines between BigQuery, Oracle CDP, and Adobe CDP to enable profile, audience, and event data exchange Implemented Web SDK streaming pipelines feeding real-time behavioral data into Adobe CDP Developed schema-aligned, optimized SQL queries delivering fast execution and efficient data retrieval across BigQuery workloads Ingested intent data provider and advertising platform feeds into BigQuery and onward to Adobe CDP for activation Built feedback pipelines from Adobe CJA and Oracle CX Analytics into BigQuery to enable unified cross-channel reporting Supported Looker dashboard data models, monitored pipeline SLAs, and led data reconciliation across source and target systems
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