Office Manager

About the Role

Join 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 Responsibilities

• Design, 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 & Qualifications

• Bachelor'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.

Bigquery,Dataflow,Dataproc,NoSql,Data warehousing, ETL,GCP,Python,Data Management,SQL,Kubernetes,Cloud Storage,Hadoop,Kafka,Spark