Data Engineer
Zensar
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Overview
Position Type
External
Experience
10+ years
Job Description
Data Engineer\n\n### Job Description\n\nData Engineer\n- Working experience on data pipeline, BigQuery, DataLake, working with large data models & queries\n- Built and maintained Google BigQuery as the enterprise data lake - designing schemas, partitioning strategies, data quality frameworks, and access controls\n- Developed batch sync pipelines between BigQuery, Oracle CDP, and Adobe CDP to enable profile, audience, and event data exchange\n- Implemented Web SDK streaming pipelines feeding real-time behavioral data into Adobe CDP\n- Developed schema-aligned, optimized SQL queries delivering fast execution and efficient data retrieval across BigQuery workloads\n- Ingested intent data provider and advertising platform feeds into BigQuery and onward to Adobe CDP for activation\n- Built feedback pipelines from Adobe CJA and Oracle CX Analytics into BigQuery to enable unified cross-channel reporting\n- Supported Looker dashboard data models, monitored pipeline SLAs, and led data reconciliation across source and target systems\n\n### Responsibilities\n\nData Engineer\n• Working experience on data pipeline, BigQuery, DataLake, working with large data models & queries\n• Built and maintained Google BigQuery as the enterprise data lake - designing schemas, partitioning strategies, data quality frameworks, and access controls\n• Developed batch sync pipelines between BigQuery, Oracle CDP, and Adobe CDP to enable profile, audience, and event data exchange\n• Implemented Web SDK streaming pipelines feeding real-time behavioral data into Adobe CDP\n• Developed schema-aligned, optimized SQL queries delivering fast execution and efficient data retrieval across BigQuery workloads\n• Ingested intent data provider and advertising platform feeds into BigQuery and onward to Adobe CDP for activation\n• Built feedback pipelines from Adobe CJA and Oracle CX Analytics into BigQuery to enable unified cross-channel reporting\n• Supported Looker dashboard data models, monitored pipeline SLAs, and led data reconciliation across source and target systems\n\n### Qualifications\n\nData Engineer\n• Working experience on data pipeline, BigQuery, DataLake, working with large data models & queries\n• Built and maintained Google BigQuery as the enterprise data lake - designing schemas, partitioning strategies, data quality frameworks, and access controls\n• Developed batch sync pipelines between BigQuery, Oracle CDP, and Adobe CDP to enable profile, audience, and event data exchange\n• Implemented Web SDK streaming pipelines feeding real-time behavioral data into Adobe CDP\n• Developed schema-aligned, optimized SQL queries delivering fast execution and efficient data retrieval across BigQuery workloads\n• Ingested intent data provider and advertising platform feeds into BigQuery and onward to Adobe CDP for activation\n• Built feedback pipelines from Adobe CJA and Oracle CX Analytics into BigQuery to enable unified cross-channel reporting\n• Supported Looker dashboard data models, monitored pipeline SLAs, and led data reconciliation across source and target systems