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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain scalable ETL pipelines for data processing and transformation.
Manage and optimize relational and non-relational databases including PostgreSQL, MySQL, MongoDB, and Google Cloud SQL to ensure data integrity and performance.
Deploy and manage data processing workflows using Google Cloud Platform services such as Google Cloud Storage, Dataflow, Dataproc, and BigQuery.
Minimum Requirements
Experience with ETL pipeline development and data modeling techniques.
Proficiency in managing relational and non-relational databases including PostgreSQL, MySQL, MongoDB, and Google Cloud SQL.
Hands-on experience with Google Cloud Platform services for data processing and analytics.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Comfortable working in agile environments using methodologies like Scrum or Kanban for iterative delivery.
Experienced in automating machine learning workflows (AutoML) to streamline model development and deployment.
Skilled in coordinating releases of data engineering solutions to production ensuring minimal operational disruption.