職位描述：
最新職位資訊來自 Tek Systems 職位為 Oracle cloud engineer. If the Oracle cloud engineer 職位空缺在 香港 符合您的資格，請直接透過更新後的 Jobkos 招聘門戶提交最新的申請或履歷。
請注意，求職申請並非總是容易的，申請人必須符合公司設定的特定要求。我們希望以下在 Tek Systems 職位為 Oracle cloud engineer 的職業機會適合您的專業資格。
- Digital Transformation Project
- Young and international culture
- AI initiative
Role Summary
We are seeking an experienced Engineer to play a key role in the migration of our on‑premise / legacy data warehouse to Oracle Cloud Infrastructure (OCI). This role will also contribute to AI‑oriented initiatives, enabling advanced analytics, machine learning, and data‑driven decision‑making across the organization.
The ideal candidate combines strong data engineering fundamentals with cloud migration experience and a modern mindset toward AI, automation, and scalable analytics architectures.
Key Responsibilities Data Warehouse Migration & Modernization
- Lead and execute the migration of enterprise data warehouse solutions to Oracle Cloud (OCI), ensuring data integrity, performance, and security
- Design and implement cloud‑native data architectures using Oracle Autonomous Data Warehouse (ADW), Object Storage, and related OCI services
- Refactor and optimize existing ETL/ELT pipelines for cloud scalability and cost efficiency
- Migrate and modernize legacy SQL, PL/SQL, and BI workloads for cloud‑based analytics
- Collaborate with architecture, infrastructure, and security teams to align with cloud standards and governance
Data Engineering & Platform Development
- Design and develop reliable, scalable data pipelines for structured and semi‑structured data
- Implement data quality checks, lineage, and monitoring to ensure trusted datasets
- Support near real‑time and batch processing use cases as required
- Optimize query performance, data models, and storage strategies in Oracle Cloud
- Develop reusable data frameworks and automation scripts for repeatable deployments
AI & Advanced Analytics Enablement
- Enable AI/ML use cases by preparing high‑quality, analytics‑ready datasets
- Partner with data scientists and analytics teams to operationalize machine learning models
- Support feature engineering, data versioning, and model training pipelines
- Integrate AI‑driven insights into downstream analytics, dashboards, or applications
- Leverage Oracle Cloud AI/ML services or open‑source ML frameworks where appropriate
Collaboration & Delivery
- Work closely with business stakeholders, BI teams, and data science teams to translate requirements into data solutions
- Contribute to agile delivery cycles, including sprint planning, estimations, and code reviews
- Document architecture, data flows, and operational procedures
- Mentor junior engineers and promote data engineering best practices
Required Qualifications
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field
- 5+ years of experience in data engineering, data warehousing, or analytics engineering
- Hands‑on experience with Oracle databases (e.g., Oracle DW, PL/SQL, SQL performance tuning)
- Proven experience migrating data platforms to Oracle Cloud Infrastructure (OCI) or similar cloud environments
- Strong expertise in ETL/ELT design, data modeling (dimensional, data vault, or similar), and SQL
- Experience building and maintaining production‑grade data pipelines
- Solid understanding of cloud security, networking, and data governance concepts
AI & Modern Analytics Experience (Required / Strongly Preferred)
- Experience supporting AI/ML or advanced analytics initiatives
- Familiarity with machine learning data preparation, feature engineering, and model deployment workflows
- Exposure to Python, Spark, or similar data processing frameworks
- Understanding of MLOps or data platforms that support AI lifecycle management
Nice to Have
- Experience with Oracle Autonomous Database, OCI Data Integration, OCI Data Science, or OCI AI services
- Knowledge of open‑source tools (e.g., Airflow, dbt, Spark)
- Experience with BI tools and analytics platforms (e.g., Oracle Analytics, Power BI, Tableau)
- Cloud certifications (Oracle Cloud, AWS, Azure, or GCP)
- Experience working in large‑scale transformation or modernization programs
What Success Looks Like
- Successful migration of legacy data warehouse workloads to OCI with minimal disruption
- Improved performance, scalability, and reliability of data platforms
- High‑quality, AI‑ready datasets enabling advanced analytics and machine learning use cases
- Strong collaboration across engineering, analytics, and business teams
- Adoption of modern data engineering and cloud best practices
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工作資料：
- 公司名稱: Tek Systems
- 職位: Oracle cloud engineer
- 工作地點: 香港
- 國家: HK
如何提交申請：
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