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Job Description
Structured overview of role & requirementsAbout This Role
Build and optimize scalable data pipelines and data processing solutions using Python, PySpark, and GCP.
Develop and maintain ETL/ELT workflows, focusing on efficiency and reliability leveraging BigQuery, GCS, Dataproc/Dataflow.
Implement and manage version control and CI/CD processes to support data engineering workflows.
Minimum Requirements
5+ years of relevant experience in data engineering.
Strong hands-on experience with Python, PySpark, and SQL.
Proficiency with Google Cloud Platform services including BigQuery, GCS, and Dataproc/Dataflow.
Notice period up to 15 days can be considered.
Ideal Candidate Profile
Experienced in designing data pipelines within cloud environments, particularly GCP.
Skilled in managing data warehousing and data lake architectures.
Familiar with Git and CI/CD practices to ensure robust data engineering operations.