Role & responsibilities
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
Job Requirement
Expertise in Google Data Engineering services Big Query, Dataproc etc
Solid 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 jobs