Data Engineer Lead-GCP & BigQuery Specialist

Role Overview: We are seeking a highly experienced Senior Data Engineer with over 15 years of expertise in designing, building, and managing scalable data solutions. The ideal candidate will have extensive hands-on experience with Google Cloud Platform (GCP) services, particularly BigQuery, and a strong background in data pipelines, ETL/ELT processes, and data architecture.This role requires a strategic thinker who can lead complex data engineering projects, mentor junior team members, and collaborate with cross-functional teams to deliver high-quality data solutions. Key Responsibilities: • Design, develop, and maintain scalable and efficient data pipelines and ETL/ELT workflows using GCP services. • Architect and implement data warehouse solutions using BigQuery, ensuring optimal performance and cost efficiency. • Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver actionable insights. • Optimize and manage large-scale datasets, ensuring data quality, integrity, and security. • Develop and enforce best practices for data governance, data modeling, and data lifecycle management. • Implement streaming data solutions using tools like Dataflow, Pub/Sub, and Apache Beam. • Monitor and troubleshoot data pipelines, ensuring high availability and reliability. • Lead the migration of on-premise data systems to GCP, ensuring seamless integration and minimal downtime. • Mentor and guide junior engineers, fostering a culture of continuous learning and innovation. • Stay updated with the latest advancements in GCP and data engineering technologies, and recommend improvements to existing systems. Requirements What we are looking for: • 15+ years of experience in data engineering, with a focus on cloud-based solutions. • Expertise in GCP services, including but not limited to:BigQuery, Dataflow, Pub/Sub, Cloud Storage, Cloud Composer (Airflow), Cloud Functions. • Strong proficiency in SQL and experience with BigQuery SQL for complex queries and performance optimization.\ • Hands-on experience with Python or Java for building data pipelines and automation. • Deep understanding of data modeling, data warehousing, and schema design. • Experience with streaming data processing and tools like Apache Beam or Kafka. • Familiarity with CI/CD pipelines and version control systems like Git. • Strong knowledge of data security and compliance standards (e.g., GDPR, HIPAA). • Proven experience in migrating on-premise data systems to GCP. • Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment. • Strong communication and collaboration skills, with the ability to work effectively with both technical and non-technical stakeholders.