Gcp Data Engineer

Desired Competencies :

• 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.

Good-to-Have:

• Understanding of DevOps Concepts in GCP.
• Strong understanding of data modeling concepts and techniques to create efficient and scalable data models.
• Experience with version control systems such as Git for code management and collaboration.
• Knowledge of data governance, data quality standards, and data security practices to ensure compliance and protection of sensitive information

Responsibility of / Expectations from the Role:

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.