- 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
- Robust 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
Role: Data Engineer, Industry Type: IT Services & Consulting, Department: Data Science & Analytics, Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning Education UG: Any Graduate read more
Key Skills Skills highlighted with ‘‘ are preferred keyskills GCPDataprocPython PysparkBigquery