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Mid-level metro Data Engineer role with broad GCP requirements and recognizable brand increases competition.
GCP-based data engineering skills are broadly transferable across industries.
Mandatory 6+ years plus specific GCP/BigQuery/Dataflow technical requirements make shortlisting stringent.
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Design, develop, and support scalable data ingestion and transformation pipelines on Google Cloud Platform (GCP).
Build modern Lakehouse solutions using Dataflow, Dataform, BigQuery, and Pub/Sub to support analytics, reporting, and AI-driven data products.
Collaborate with Data Architects, Data Governance, Analytics Engineers, BI Developers, and Business Teams to deliver reliable, secure, high-performance data solutions.
6+ years of work experience in data engineering or related field.
Strong hands-on experience with Google Cloud Platform services including BigQuery (advanced optimization and tuning), Dataflow (batch & streaming pipelines), Dataform, Pub/Sub, Cloud Storage, Dataplex/Data Catalog, Analytics Hub, Cloud Monitoring & Logging, and IAM & Security controls.
Proficiency in programming languages including Python and Advanced SQL; Java or Scala preferred.
Experience in batch and streaming data processing, ETL/ELT pipeline design, CDC/incremental processing, and data lakehouse architecture concepts.
Experienced with building and optimizing complex data pipelines and lakehouse architecture on GCP at scale.
Experienced collaborating cross-functionally with data architects, analytics, BI, and business teams to deliver enterprise data solutions.
Capable of applying advanced data modeling, warehousing principles, and implementation of secure, high-performance data products.