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Job Summary Senior Data Engineer: Experience: 6+ Years Role Summary We are looking for a highly motivated Data Engineer to design, develop, and support scalable data ingestion and transformation pipelines on Google Cloud Platform (GCP). The ideal candidate will have strong experience in building modern Lakehouse solutions using Dataflow, Dataform, BigQuery, and Pub/Sub while supporting analytics, reporting, and AI-driven data products. The role will work closely with Data Architects, Data Governance, Analytics Engineers, BI Developers, and Business Teams to deliver reliable, secure, and high-performance data solutions. Required Technical Skills Google Cloud Platform (GCP) Strong hands-on experience in: BigQuery (advanced optimization and tuning) Dataflow (batch & streaming pipelines) Dataform (SQL-based transformations) Pub/Sub (event-driven architectures) Cloud Storage (GCS) Dataplex / Data Catalog Analytics Hub (data sharing) Cloud Monitoring & Logging IAM & Security controls Data Engineering Batch and streaming data processing ETL / ELT pipeline design and implementation Data ingestion frameworks (config-driven approach preferred) CDC and incremental processing Data lakehouse architecture concepts Data modeling and warehousing principles Programming Python Advanced SQL Java or Scala (preferred) Scripting and automation Preferred Certifications Google Cloud Google Professional Data Engineer Google Associate Data Practitioner Job Family Information Technologies & Systems Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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