Data Engineer [Cloud]

Visa Hunt; Singapore; On-site; SGD 90,000 - 140,000; Part time

Job summary

Visa Hunt is seeking a Data Engineer (Cloud) in Singapore to design and optimize data pipelines across AWS, Databricks, and IDMC. The role requires strong SQL, data modeling, and hands-on cloud experience.

The ideal candidate has 5+ years in data warehousing or analytics, a degree in CS/IT/CE, and can collaborate with cross-functional teams while ensuring data governance and security.

Qualifications

• Degree/Master’s in CS, IT, CE or equivalent.
• Minimum 5 years in data warehousing, big data, or analytics.
• Experience with AWS, Databricks, and IDMC or Informatica.

Responsibilities

• Design and implement data pipelines in AWS, Databricks, and IDMC.
• Develop data models (Star/Snowflake) and data lakes.
• Collaborate with cross-functional teams and stakeholders.
• Ensure data governance, quality and security across pipelines.

Skills

Oracle

MS SQL

MySQL

Teradata

Databricks

Informatica

AWS cloud services

ETL

ML

AI

IaC

CI/CD

IDMC Certification

Education

Degree/Master’s in CS/IT/CE

Job description

POSITIONOVERVIEW : Data Engineer (Cloud)

POSITIONGENERAL DUTIES AND TASKS :

• Position Name:Data Engineer (Cloud)
• Term: 12 Months
• Minimum Relevant Experience: 5 Years
• Start Date: Immediate
• Key Skills:Oracle, MS SQL, MySQL, Teradata, Databricks, Informatica, AWS cloud services, ETL, ML, AI, IaC, CI/CD,Informatica IDMC Certification

Education& Experience:

• Degree/Master’s in Computer Science, Information Technology, Computer Engineering, or equivalent.
• Minimum 5 years of experience in data warehousing, big data, or advanced analytics solutions.

TechnicalSkills:

Databases& Data Management:

• Experience with databases (e.g., Oracle, MS SQL, MySQL, Teradata, Databricks).
• Expertise in data repository design (e.g., operational data stores, data marts, data lakes).
• Proficiency in data query techniques (e.g., SQL, NoSQL, Spark SQL).
• Hands-on experience with Databricks (Delta Lake, MLflow, Spark).
• Experience with Informatica Data Management Cloud (IDMC) for data integration, transformation, and governance.

CloudData & Analytics:

• Must-have: Strong knowledge of AWS cloud services (e.g., AWS Glue, Redshift, S3, Lambda, Kinesis, Athena, EMR).
• Experience in building and optimizing ETL/ELT workflows using AWS-native tools, Databricks, or IDMC.
• Understanding of event-driven architectures and microservices.

Data Analytics & Machine Learning:

• Data modelling experience (e.g., Star Schema, Snowflake Schema).
• Proficiency in Python/R for data transformation, analytics, and statistical computing.
• Hands-on experience with ML and AI frameworks for predictive modeling and healthcare analytics.
• Experience in data visualization tools (e.g., Power BI, Tableau).

DevOps& Security:

• Infrastructure as Code (IaC): Terraform, CloudFormation.
• CI/CD & DevOps best practices for data pipelines and cloud infrastructure.
• Identity and Access Management (IAM), security best practices, and data governance.

SoftSkills:

• Strong problem-solving and critical thinking skills.
• Ability to communicate complex technical solutions to non-technical stakeholders.
• Proven experience in working with cross-functional teams and managing multiple stakeholders.
• Healthcare data governance and compliance knowledge is a plus.

Certifications (Preferred but not mandatory)

• AWS Certified Solutions Architect – Associate or Professional
• Databricks Certified Data Engineer

Informatica IDMCCertification