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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.