Roles and Responsibilities :
- Design, develop, test, deploy and maintain large-scale data pipelines using Python on Google Cloud Platform (GCP) to extract insights from various sources.
- Collaborate with cross-functional teams to identify business requirements and design ETL processes that meet those needs.
- Develop scalable and productive algorithms for processing large datasets using GCP services such as BigQuery, Dataflow, etc.
- Troubleshoot issues related to pipeline failures or performance bottlenecks.
Job Requirements :
- 6-10 years of experience in building complex data pipelines using Python programming language.
- Strong understanding of GCP cloud platform including BigQuery, Dataflow, Pub/Sub etc. .
- Experience with designing and developing ETL pipelines for big-data processing.
📌 Data Engineer (Pune)
🏢 Premium
📍 Pune
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