Qualifications

• Master's/bachelor's degree in computer science, business analytics, IT, statistics, or a related field.
• Minimum 5+ years of experience in Data Engineering or a similar role.
• Proven experience designing and deploying data pipelines in cloud environments, preferably GCP.
• Strong understanding of data architecture principles and best practices.
• Expertise in SQL and experience with Google BigQuery.
• Excellent communication skills, particularly in translating business needs into technical requirements.
• Experience in a customer-facing role and familiarity with data warehousing are desirable.

Responsibilities

• Design, develop, and deploy scalable data pipelines using GCP tools like Cloud Dataflow and BigQuery.
• Collaborate with stakeholders to gather business requirements for data solutions.
• Maintain a comprehensive data architecture that ensures data quality and efficiency.
• Analyze system data for trends and optimize data pipeline performance.
• Promote BigQuery adoption and advocate its benefits to internal customers.
• Conduct data analysis to generate actionable insights for decision-making.
• Document data processes for maintainability and knowledge sharing.

Benefits

• Opportunities for professional development and GCP certification.
• Collaborative team environment and cross-functional teamwork.
• Exposure to cutting-edge data engineering technologies.
• Customer-facing role with impact on business decision-making.