Data Engineer

Role DescriptionAbout the RoleJoin our award-winning UST Data Science team as a Data Engineer, where your technical expertise and communication skills will directly impact exciting data and AI-driven projects. You’ll be working closely with both external clients and internal stakeholders to design and build robust, scalable data pipelines and infrastructure on Google Cloud Platform (GCP).This is a fantastic opportunity to work in a cross-functional scrum team alongside data scientists, ML engineers and analysts helping deliver the next generation of intelligent data products.Key ResponsibilitiesDesign, develop, and maintain scalable ETL/data pipelines using GCP services like Dataflow, Dataproc, and BigQuery.Implement efficient data storage solutions (Cloud Storage, Cloud SQL, Cloud Spanner).Develop and manage data lakes and data warehouses on GCP.Collaborate with data scientists and analysts to translate data needs into practical solutions.Ensure data governance, quality, and security in line with compliance standards.Automate workflows and build monitoring/ing for pipeline health and performance.Share best practices across teams and contribute to the development of reusable data engineering patterns.Required Skills & QualificationsBachelor’s or Master’s in Computer Science, Information Systems, or equivalent experience.5+ years of hands-on experience in data engineering roles.Deep expertise with Google Cloud Platform especially BigQuery, Dataflow, Dataproc, Cloud Storage, and Pub/Sub.Strong SQL skills and experience with NoSQL databases.Solid understanding of data modeling, ETL/ELT, and data warehousing concepts.Proficiency in Python (or Java/Scala) for data pipeline development.Familiarity with big data tools Hadoop, Spark, Kafka (optional but preferred).Knowledge of data governance, security, and compliance best practices.Excellent communication skills, ability to explain complex tech to non-technical stakeholders.GCP certifications (e.g., Professional Data Engineer) are a plus.SkillsBigquery,Dataflow,Dataproc,NoSql,Data warehousing, ETL,GCP,Python,Data Management,SQL,Kubernetes,Cloud Storage,Hadoop,Kafka,Spark