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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and optimize complex ETL/ELT data pipelines on Google Cloud Platform focusing on scalability and performance.
Manage and tune large-scale Apache Spark jobs and optimize BigQuery data warehouse queries for high performance.
Bridge traditional data engineering with emerging GenAI capabilities by exploring integration of Vertex AI into production pipelines.
Minimum Requirements
3-5 years of relevant experience in data engineering or software development.
Bachelor's degree in Computer Science or related field.
Proven expertise in Python or Scala programming and tuning/debugging Spark at scale.
Deep hands-on experience with Google Cloud data services: BigQuery, Dataflow, Dataproc, Pub/Sub.
Ideal Candidate Profile
Experienced in architecting and managing large-scale data infrastructure leveraging GCP native tools across batch and real-time pipelines.
Comfortable working with advanced SQL (window functions, CTEs) and building performant data models.
Open to collaborating with data science teams on operationalizing GenAI and related AI/ML integrations within data pipelines.