Design and develop scalable and reliable data pipelines using GCP services.
Develop data processing and transformation solutions using Python and SQL.
Build and optimize ETL/ELT pipelines for large-volume datasets.
Work with business and technical teams to understand data requirements and deliver robust solutions.
Perform data modeling, data validation, and performance optimization.
Monitor and troubleshoot data pipelines and resolve production issues.

🎯 Requirements

6+ years of experience in Data Engineering.
Strong hands-on experience with Google Cloud Platform (GCP).
Strong programming experience in Python.
Strong expertise in SQL, including complex queries, joins, CTEs, window functions, and query
Experience developing ETL/ELT data pipelines.
Hands-on experience with one or more GCP services such as BigQuery, Cloud Storage (GCS), Cloud

🎁 Benefits

All your information will be kept confidential according to EEO guidelines.

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