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Job Responsibilities:

• Design, develop, and maintain scalable data pipelines and ETL processes on Google Cloud Platform (GCP).
• Implement data ingestion, transformation, and storage solutions using GCP services such as BigQuery, Dataflow, Pub/Sub, and Cloud Storage.
• Collaborate with cross-functional teams to gather requirements and design data models that meet business needs.
• Optimize data pipelines for performance, reliability, and cost-effectiveness.
• Ensure data quality and integrity throughout the data lifecycle by implementing data validation and monitoring processes.
• Troubleshoot and resolve issues related to data pipelines, infrastructure, and performance.
• Stay up-to-date with industry trends and best practices in data engineering and GCP technologies.

Qualifications:

• Bachelor's degree in Computer Science, Engineering, or related field.
• Active certification in Google Cloud Platform (GCP), such as Google Certified Professional Data Engineer.
• Proven experience in designing and implementing data pipelines and ETL processes.
• Strong proficiency in GCP services such as BigQuery, Dataflow, Pub/Sub, and Cloud Storage.
• Experience with programming languages such as Python, Java, or Scala.
• Familiarity with data modeling concepts and database technologies.
• Excellent problem-solving skills and attention to detail.
• Effective communication and collaboration skills.