Urgent!!! Data Engineer (AI, ETL, Python)

Trust Recruit Pte. Ltd.

Early Applicant

24 days ago
Be among the first 50 applicants

Exp: 2-5 Years

7,000 - 10,000 SGD/m

Full time

Singapore

Job Description

Highlights:

Fortune 100 MNC
Permanent job opportunity
Great remuneration & benefits
Great career progression
Location: Suntec City

Responsibilities:

Design and build data pipelines: Create the infrastructure to collect, process, and store data from various sources.
Develop data assets platform: This platform provides a centralized repository for managing and accessing data assets.
Implement automated SQL generation: Create tools and processes to automatically generate SQL queries based on user-defined criteria or business requirements. This can involve using techniques like query templates, metadata-driven generation, or machine learning algorithms.
Create new IPs in Singapore in area of expertise
Manage collaboration projects with Institute of Higher Learning or Research Institutes on new technology development
Overseas process development support for short term assignments

Requirements:

Masters (w/ min. 2 yrs of relevant working exp./ PhD (w/ min. 1 yr of relevant working exp.

Computer Science
Data Science
Statistics Applied Sciences, or related field

Programming skills : Proficiency in programming like Python, SQL, Java, or Scala is essential for data manipulation and automation.
Data Warehousing and ETL: Understanding of data warehousing concepts, ETL (Extract, Transform, Load) processes, and tools like Informatica, Talend, or Airflow.
Database Management: Knowledge of relational databases (MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra) is crucial.
Cloud Platforms: Experience with deploying and managing data infrastructure.
Data Modelling: Ability to design and implement data models that effectively represent business requirements.
Data Quality: Understanding of data quality concepts, validation techniques, and tools.
Automation Tools: Familiarity with tools like Apache Airflow, Kubernetes, or Ansible for automating data pipelines and infrastructure.
Machine Learning: Basic understanding of machine learning algorithms can be beneficial for certain automation tasks, such as query optimization or anomaly detection.

HOW TO APPLY:

Interested applicants, please click on Apply Nowor email to [Confidential Information] with provided your latest resume in MS WORD format with below information.