About the Role
**Description**
+ Design, develop, and maintain scalable and reliable data pipelines and platforms on Google Cloud Platform to support enterprise analytics and reporting.
+ Collaborate with business and technical teams to understand data requirements and translate them into efficient data engineering solutions.
+ Build data ingestion frameworks using Kafka Confluent and integrate data from multiple cloud and on-premises sources.
+ Implement ELT and ETL pipelines using PySpark, SQL, Dataform, DBT, and Dataproc for efficient data transformation and processing.
+ Design and manage data models, schemas, and data warehousing structures optimized for BigQuery performance and scalability.
+ Ensure data quality, consistency, and integrity through effective data validation and monitoring mechanisms.
+ Implement data governance practices including data lineage, metadata management, privacy, and compliance.Develop automated monito...
+ Design, develop, and maintain scalable and reliable data pipelines and platforms on Google Cloud Platform to support enterprise analytics and reporting.
+ Collaborate with business and technical teams to understand data requirements and translate them into efficient data engineering solutions.
+ Build data ingestion frameworks using Kafka Confluent and integrate data from multiple cloud and on-premises sources.
+ Implement ELT and ETL pipelines using PySpark, SQL, Dataform, DBT, and Dataproc for efficient data transformation and processing.
+ Design and manage data models, schemas, and data warehousing structures optimized for BigQuery performance and scalability.
+ Ensure data quality, consistency, and integrity through effective data validation and monitoring mechanisms.
+ Implement data governance practices including data lineage, metadata management, privacy, and compliance.Develop automated monito...
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