GCP Data Engineer

Overview

3+ years experience in Google Data Engineering services Big Query, Dataproc, GCP Big Query, Dataproc, Pub Sub, Airflow etc.
Strong experience in programming languages such as Python, PySpark data manipulation and engineering tasks.
Expertise in SQL and NoSQL databases
In-depth knowledge of data warehousing solutions
Deep understanding on data warehousing concepts
Proficiency in designing, developing, and maintaining ETL (Extract, Transform, Load) processes using tools like Apache Airflow, Talend, or Informatica.
Design, develop, and maintain scalable data pipelines for extracting, transforming, and loading data from various sources to ensure seamless data flow and accessibility.
Collaborate with cross-functional teams to integrate data from multiple disparate sources, ensuring consistency, accuracy, and reliability of data.
Optimize data processing workflows and storage solutions for performance, scalability, and cost-efficiency
Implement data quality checks and validation processes to ensure the accuracy, completeness, and consistency of data throughout the data lifecycle.