GCP Data Engineer with deep experience building scalable data pipelines, real‑time and batch ingestion frameworks, and cloud‑native data platforms. Strong expertise in Python-based data engineering, workflow orchestration, and enterprise-grade data solutions leveraging GCP services including BigQuery and modern ingestion stacks, with strong emphasis on lakehouse architectures using Apache Iceberg or Delta Lake table formats.
5+ years of Data Engineering experience
5+ years of Python development
3+ years of batch and streaming processing (Airflow, Pub/Sub, Dataflow)
3+ years with Autosys, Airflow, and GCP environments
3+ years with BigQuery and GCP ingestion stack
3+ years with CI/CD tools and IAM
Robust ETL/ELT design and optimization experience
Hands-on expertise with Apache Iceberg or Delta Lake for scalable lakehouse implementations
Desired Qualifications:
Strong expertise in streaming architectures
Advanced experience with Iceberg or Delta Lake (schema evolution, time travel, ACID)
Deep knowledge of data modeling and lakehouse design