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Generalist data engineer title and Bangalore metro increase applicant competition.
Core data engineering skills broadly transferable, though Adobe/Oracle CDP experience favors marketing-tech backgrounds.
Specific BigQuery, CDP, and pipeline skills required but no explicit years, so moderate filtering.
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Design, build, and maintain Google BigQuery enterprise data lake including schemas, partitioning, data quality frameworks, and access controls.
Develop and manage batch sync pipelines and real-time streaming pipelines integrating BigQuery with Oracle CDP and Adobe CDP for data exchange and activation.
Ensure optimized SQL query development, data ingestion from various providers, cross-channel reporting via integrated data pipelines, and maintain Looker dashboard models with SLA monitoring and data reconciliation.
Experience working with data pipelines, BigQuery, and large data models/queries is mandatory.
Hands-on experience with Google BigQuery including schema design, partitioning, and data quality frameworks required.
Experience in developing batch and streaming data pipelines involving BigQuery and Customer Data Platforms (Oracle CDP, Adobe CDP).
Work Experience Required: Not explicitly mentioned in the JD
Proven ability to manage enterprise-scale data lakes with Google BigQuery including architectural and operational responsibilities.
Strong skills in SQL optimization and pipeline design to ensure effective data retrieval and high performance querying.
Experience working at the intersection of marketing/customer data platforms and data engineering to enable unified cross-channel insights.