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Mid-level, popular Data Engineer role in a metro with broad requirements increases applicant competition.
Core GCP data engineering skills are highly transferable across industries, so background sensitivity is low.
Explicit 6+ years and mandatory GCP BigQuery/Dataflow skills create strict shortlisting filters.
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Design, develop, and support scalable data ingestion and transformation pipelines on Google Cloud Platform (GCP).
Build and maintain modern Lakehouse solutions using Dataflow, Dataform, BigQuery, and Pub/Sub to support analytics, reporting, and AI products.
Collaborate with Data Architects, Data Governance, Analytics Engineers, BI Developers, and Business Teams to deliver reliable, secure, and high-performance data solutions.
6+ years of experience as a Data Engineer or in a similar role.
Hands-on experience with Google Cloud Platform services including BigQuery, Dataflow, Dataform, Pub/Sub, Cloud Storage, Dataplex, Analytics Hub, and Cloud Monitoring.
Proficient in Python, advanced SQL, and preferably Java or Scala programming.
Knowledge of ETL/ELT pipeline design, batch and streaming data processing, and data lakehouse architecture concepts.
Experienced with advanced optimization and tuning of BigQuery workloads and event-driven architectures using Pub/Sub.
Familiar with data ingestion frameworks using config-driven approaches and incremental processing like CDC.
Holds or is pursuing Google Cloud certifications such as Professional Data Engineer or Associate Data Practitioner.