Data Architect Google Cloud Platform

Working experience as a Data Engineer Experienced in migrating large-scale applications from legacy systems to modern architectures. Good programming skills in Python and experience with Spark for data processing and analytics Experience in Google Cloud Platform services such as GCS, Dataflow, Cloud Functions, Cloud Composer, Cloud Scheduler, Datastream (CDC), Pub/Sub, BigQuery, Dataproc, etc. with Apache Beam (Batch & Stream data processing). Develop JSON messaging structure for integrating with various application Leverage DevOps and CI/CD practices (GitHub, Terraform) to ensure the reliability and scalability of data pipelines. Experience with scripting languages like Shell, Perl etc. Design and build an ingestion pipeline using Rest API. Experience with data modeling, data integration, and ETL processes Strong knowledge of SQL and database systems Familiarity with managing cloud-native databases. Understanding of security integration in CI/CD pipelines. Understanding of data warehousing concepts and best practices Proficiency in working with large-scale data sets and distributed computing frameworks Strong problem-solving and analytical skills Excellent communication and teamwork abilities

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