Gcp Data Engineer

Role & responsibilities:

1. Design, develop, and maintain scalable data pipelines for extracting, transforming, and loading data from various sources to ensure seamless data flow and accessibility.

2. Collaborate with cross-functional teams to integrate data from multiple disparate sources, ensuring consistency, accuracy, and reliability of data.

3. Optimize data processing workflows and storage solutions for performance, scalability, and cost-efficiency

4. Implement data quality checks and validation processes to ensure the accuracy, completeness, and consistency of data throughout the data lifecycle.

5. Monitor the performance of data pipelines and infrastructure, identifying and resolving issues to maintain system stability and reliability.

Must-Have:

• Expertise in Google Data Engineering services Big Query, Dataproc 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.