全职 Senior Data Engineer 工作, 薪水, RiDiK (a Subsidiary Of CLPS. Nasdaq: CLPS) 公司招聘中 - Ricebowl

Job Title: Senior Data Engineer – Databricks (Financial Services Sector)

Location: Tanjong Pagar, Singapore

Salary: Up to SGD$10,500+ per month

Job Type: Contract (12 months - Renewable)

About the Opportunity: We are recruiting for a Senior Data Engineer to join a prestigious Global Financial Institution based in Tanjong Pagar. This is a high-impact role where you will help build and optimize next-generation data infrastructure for one of the world’s leading investment firms.

Why This Role?

• High-Profile Project: Work on critical data engineering initiatives for a top-tier financial client.
• Cutting-Edge Tech: Deep dive into Databricks, PySpark, and modern Lakehouse architectures.
• Competitive Package: Salary up to $10,500+ per month, plus comprehensive benefits.
• Prime Location: Based in the heart of Singapore (Tanjong Pagar).

Key Responsibilities:

• Design, build, and maintain scalable, production-grade ETL/ELT pipelines using PySpark and Databricks.
• Implement robust data models (Dimensional, Data Vault, or Lakehouse) to ensure scalability and performance.
• Optimize Spark jobs, manage cluster configurations, and orchestrate workflows within the Databricks environment.
• Leverage Delta Lake features such as ACID transactions, schema evolution, and time travel.
• Refactor legacy code into modern frameworks and best practices.
• Collaborate with cross-functional teams to ensure data governance, security, and quality standards are met.
• Utilize Workspace AI Agent capabilities for automation and intelligent workflow improvements.

Required Qualifications:

• Experience: Minimum 5 years of experience in Data Engineering or related roles.
• Databricks: At least 2–3 years of hands-on experience with the Databricks platform (Workspace, Clusters, Notebooks, Job Orchestration).
• Technical Skills:
• Strong proficiency in PySpark (DataFrames API, Spark SQL, performance tuning).
• Strong Python programming skills for data processing and automation.
• Proficiency in SQL for complex queries and transformations.
• Architecture: Experience with Cloud Platforms (Azure, AWS, or GCP) and Data Modeling techniques.
• Soft Skills: Excellent problem-solving abilities, strong communication skills, and experience working in Agile environments.

Certifications:

• Preferred: Databricks Certified Data Engineer Associate or Professional.
• Note: Certification is not mandatory to apply. We prioritize technical skill and experience over credentials. If you pass the interview, you are welcome to obtain the certification after joining the team. We support your professional growth.