summary

singapore
S$11,000 - S$13,000 per month, bonus 3-5 months
permanent
full-time

specialism
information technology
sub specialism
data science & machine learning
reference number
91M0251984_0460652136212875421

job details

about the company
Our client is a global MNC company

about the job

Data Engineer in our Presales (Data & AI) team, you'll be instrumental in shaping cutting-edge data and AI/ML solutions. You'll partner closely with stakeholders to design and implement data strategies that deliver significant business value and drive successful presales engagements for both government and enterprise clients. ...

about the manager/team

This role reports to Service delivery director

skills and experience required

Experience & Certifications: 3-5 years in data engineering or presales/solution engineering roles, complemented by key Cloud Data Engineer certifications (e.g., Azure DP-203, AWS Certified Data Analytics Specialty, Google Professional Data Engineer, or Databricks/Snowflake professional certifications).
Core Technical Skills:
- Data Engineering & MLOps: Proven ability in data pipeline orchestration (e.g., Apache Airflow), distributed processing (e.g., Spark, Hadoop), and handling both batch and real-time data (e.g., Kafka). You're familiar with data lake/warehouse design, various ML/AI tools (Databricks, DataRobot, SQL, Python), and MLOps practices like model deployment, experiment tracking, and CI/CD for data/ML.
- Cloud & DevOps: Hands-on experience across AWS, Azure, or Google Cloud Platform, coupled with proficiency in Linux/Unix administration, version control (Git), containerization (Docker, Kubernetes), and Infrastructure as Code (Terraform).
Specialized Knowledge: Familiarity with government compliance standards (e.g., IM8, GCC) and experience ingesting/processing multi-modal data (video, audio, tabular, text formats).
- Lead Solution Design: Architect and optimize data pipelines and architectures for analytics and machine learning, ensuring scalability, security, and best practices.
- Recommend & Innovate: Evaluate and propose leading data engineering and ML/AI technologies, including those for multi-modal data (video, audio, text).
- Prove Value: Develop compelling demos and proofs-of-concept that showcase solution feasibility and quantifiable business value.
- Collaborate & Communicate: Partner closely with internal and external stakeholders (government and enterprise clients) to define data strategies and articulate technical concepts to non-technical audiences.
- Drive AI Adoption: Design, build, and support AI solutions for both internal and external use cases.

To apply online please use the 'apply' function.
(EA: 94C3609/ R1324990)

Experience & Certifications: 3-5 years in data engineering or presales/solution engineering roles, complemented by key Cloud Data Engineer certifications (e.g., Azure DP-203, AWS Certified Data Analytics Specialty, Google Professional Data Engineer, or Databricks/Snowflake professional certifications).
Core Technical Skills:
- Data Engineering & MLOps: Proven ability in data pipeline orchestration (e.g., Apache Airflow), distributed processing (e.g., Spark, Hadoop), and handling both batch and real-time data (e.g., Kafka). You're familiar with data lake/warehouse design, various ML/AI tools (Databricks, DataRobot, SQL, Python), and MLOps practices like model deployment, experiment tracking, and CI/CD for data/ML.
- Cloud & DevOps: Hands-on experience across AWS, Azure, or Google Cloud Platform, coupled with proficiency in Linux/Unix administration, version control (Git), containerization (Docker, Kubernetes), and Infrastructure as Code (Terraform).
Specialized Knowledge: Familiarity with government compliance standards (e.g., IM8, GCC) and experience ingesting/processing multi-modal data (video, audio, tabular, text formats).
- Lead Solution Design: Architect and optimize data pipelines and architectures for analytics and machine learning, ensuring scalability, security, and best practices.
- Recommend & Innovate: Evaluate and propose leading data engineering and ML/AI technologies, including those for multi-modal data (video, audio, text).
- Prove Value: Develop compelling demos and proofs-of-concept that showcase solution feasibility and quantifiable business value.
- Collaborate & Communicate: Partner closely with internal and external stakeholders (government and enterprise clients) to define data strategies and articulate technical concepts to non-technical audiences.
- Drive AI Adoption: Design, build, and support AI solutions for both internal and external use cases.

To apply online please use the 'apply' function.
(EA: 94C3609/ R1324990)

skills
Lead the design, development, and optimization of data pipelines and architectures for analytics and machine learning.
qualifications
diploma or degree holder in computer science, engineering, or related field.
education
Associate Degree/Diploma

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neha singh

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presales data engineer / architect.

job details

skills

qualifications

education

share this job.

the application process.

apply with randstad.

we'll contact you.

getting you registered.

compliance check.

reference and background check.

the perfect job for you.

the interview and negotiation.

start your new job.

get in touch

neha singh

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