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Mid-level GCP data role in a metro with common skills but non-Tier1 brand, moderate applicant density.
Strong GCP data-platform focus (BigQuery, Dataflow, Pub/Sub) reduces cross-industry transferability significantly.
Explicit 6+ years requirement plus mandatory GCP BigQuery, Airflow, Dataflow, and Terraform skills increases strictness.
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Design, develop, and maintain scalable data ingestion and curation pipelines using GCP services and tools such as BigQuery, Dataflow, Pub/Sub, Airflow, Cloud Functions, Python, SQL, and DBT/Dataform.
Manage and optimize end-to-end data platform architecture on GCP ensuring high performance, security, governance, and cost-efficiency, using Infrastructure as Code tools like Terraform and workflow management via Astronomer.
Collaborate cross-functionally to define best practices, automate platform processes, and translate complex business requirements into efficient data solutions while ensuring comprehensive documentation and communication.
6+ years of experience in Data Engineering or Software Engineering with minimum 2 years of hands-on cloud-based data platform building on GCP.
Proficiency in GCP (BigQuery, Dataflow, Pub/Sub, Cloud Functions), Airflow, Python, SQL, and infrastructure automation tools like Terraform.
Bachelor's degree in Computer Science, Information Technology, Data Analytics, or related field (or equivalent experience).
Notice Period: 20 days.
Experienced architect and builder of scalable, secure data pipelines and platforms specifically on Google Cloud Platform.
Skilled in full-stack data engineering including orchestration, governance, security, and performance optimization within cloud environments.
Able to effectively collaborate with cross-functional teams and translate technical requirements into scalable, business-aligned data engineering solutions.