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Mid-level popular data-engineer role, metro location, and broad GCP skillset create high applicant competition.
Core data engineering skills on GCP transfer across industries, though cloud-platform experience creates some bias.
Explicit 5+ years plus mandatory GCP/data stack skills and pipeline experience make shortlisting strict.
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Design, develop, and maintain scalable data pipelines and workflows using various GCP services including BigQuery, Cloud Dataflow, and Dataproc.
Optimize data models, schemas, warehouses and automate data workflows ensuring data quality, security, and compliance.
Collaborate with data analysts, scientists, and stakeholders to gather requirements and deliver solutions; monitor and troubleshoot data pipeline and infrastructure issues proactively.
5+ years of experience in data engineering, big data, or cloud data solutions, with proven track record deploying large-scale data pipelines on GCP.
Proficiency in SQL and programming languages such as Python, Java, or Scala for data processing.
Hands-on experience with GCP data services like BigQuery, Cloud Dataflow, Cloud Storage, Dataproc, and familiarity with container orchestration using GKE/Kubernetes.
Bachelor’s degree in Computer Science, Data Science, Engineering, or related field.
Experienced in designing and implementing secure, scalable data engineering solutions specifically on GCP.
Comfortable working in cross-functional teams interfacing with technical and non-technical stakeholders for requirement gathering and solution delivery.
Strong focus on automating deployments, monitoring, and continuous improvement using DevOps tools and GCP innovations.