Data Engineer

Responsibilities:

• Develop and maintain data pipelines using GCP services such as BigQuery, Cloud Run, Cloud Functions, Pub/Sub, Dataflow, and Cloud Composer.
• Write efficient SQL queries to manipulate and analyze large datasets.
• Utilize Python for data processing, transformation, and automation tasks.
• Manage infrastructure as code using Terraform for efficient deployment and scaling.
• Collaborate with stakeholders to gather requirements and provide insights derived from data analytics.
• Communicate technical concepts and data insights effectively to technical and non-technical audiences.

Requirements:

• Proficient in GCP services, especially BigQuery, Cloud Run, Cloud Functions, Pub/Sub, Dataflow, and Cloud Composer.
• Strong SQL skills with experience in writing complex queries for data analysis.
• Proficient in Python for data manipulation and processing.
• Experience with DBT for data transformation and modeling.

Key Skills:

• SQL.
• Machine learning.
• Big data.
• Data pipelines.
• Data warehouse.
• Programming.
• Data modeling.
• Communication.
• Data visualization.

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