Hybrid Data Engineer - GCP & ETL

Join our innovative team as a Data Engineer specializing in Google Cloud Platform, with a focus on ETL processes and data pipeline optimization. This hybrid role offers three days of collaborative on-site work each week.

We're searching for a Data Engineer with substantial GCP experience to design and enhance data solutions. Your mission will include developing batch and real-time data pipelines while collaborating with analysts and data scientists. This role is pivotal in ensuring data integrity and compliance through robust engineering practices.

Key Responsibilities:

• Develop real-time and batch data pipelines

• Build and optimize data ingestion frameworks

• Create ETL processes using GCP-native services

• Collaborate with data stakeholders for enterprise solutions

• Implement CI/CD practices for automation

Requirements:

• Proven experience in Data Engineering and pipeline construction

• Hands-on knowledge of GCP services including Dataflow

• Proficient in Python, SQL, and Py Spark

• Experience with data governance and quality tools

• Bachelor’s or Master’s degree in relevant field

Contribute your expertise in GCP and data engineering to our impactful projects.
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