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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain scalable data pipelines and applications on Google Cloud Platform using Python.
Build and manage ETL/ELT processes and optimize data processing workflows for large datasets.
Ensure system reliability, troubleshoot performance issues, and collaborate with engineering, analytics, and business teams.
Minimum Requirements
5 to 14 years of professional experience.
Strong hands-on Python development skills.
Proficiency with Google Cloud Platform services including BigQuery, Cloud Storage, Dataflow, Pub/Sub, Composer, or Dataproc.
Good understanding of SQL and database concepts.
Ideal Candidate Profile
Experienced in building and managing cloud-native data pipelines with scalable architectures on GCP.
Comfortable working cross-functionally with engineering, analytics, and business units to deliver data solutions.
Skilled in performance optimization, monitoring, and applying cloud best practices in data engineering workflows.