Job Description
Description:
Data Pipeline Development: Build and maintain scalable, secure ETL/ELT data workflows using BigQuery and other GCP services (e.g., Dataflow, Cloud Storage).
Extensive Experience in IT data analytics projects, Hands on experience in migrating on premise ETLs to Google Cloud Platform (GCP) using cloud native tools such as BIG query, Cloud Data,Proc, Google Cloud Storage, ComposerSQL concepts, Presto SQL, Hive SQL, Python (Pandas, Numpy, SciPy, Matplotlib) and PysparkDesign and implement scalable data pipelines using Google Cloud DataflowDevelop and optimize BigQuery datasets for efficient data analysis and reportingCollaborate with cross-functional teams to integrate data solutions with business processes Automate data workflows using Cloud Composer and Apache Airflow Ensure data security and compliance with GCP Identity and Access Management Query & Storage Optimization: Develop advanced SQL queries and design data models using partitioning, clustering, and materialized views to minimize costs and maximize performance Implement real-time data processing with Google Cloud Pub/Sub and Dataflow Continuously evaluate and adopt new GCP tools and technologies
GCP Biq query, Python , SQL , AirflowComposer
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