Data Engineer (Cloud)_Contract Renewable

NTT SINGAPORE PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

NTT SINGAPORE PTE. LTD. is seeking a data architecture professional to define and maintain architectures for analytics infrastructure. You will lead cloud-enabled data platforms, drive data migration, and collaborate with business owners to shape scalable data solutions.

The role requires 5+ years in data warehousing or analytics, strong Python/SQL skills, and hands-on experience with Databricks, IDMC, and AWS services. On-site Singapore office with exposure to cross-functional teams.

Qualifications

• 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.

Responsibilities

• Define, develop, and maintain blueprints, roadmaps, and reference architectures for data analytics infrastructure and services.
• Analyze requirements, develop solutions, and manage solution delivery via acquisition or change control.
• Enhance cloud capability by designing and implementing cloud-based data analytics architectures and patterns.
• Lead data migration and modernization using AWS-native services, Databricks, and IDMC.
• Collaborate with business leads to understand requirements and identify architectural patterns.
• Develop automation playbooks for managing and scaling cloud services, containers, and applications.
• Ensure governance and security guidelines for cloud-based analytics solutions.
• Collaborate with DevOps and data engineering teams to optimize pipelines and data lakes.
• Assist in vendor management to ensure scalable, sustainable solutions.

Skills

Data architecture

Cloud computing

SQL

Python

ML/AI

Data visualization

DevOps

IAM/Security

Education

Master’s in Computer Science / IT / Computer Engineering

Tools

Databricks

IDMC

Informatica IDMC

AWS tools (Glue, Redshift, S3, Lambda, Kinesis, Athena, EMR)

Terraform / CloudFormation

Job description

Responsibilities

• Define, develop, and maintain blueprints, roadmaps, and reference architectures for data analytics infrastructure and services.
• Analyze new requirements, develop solutions, and manage solution delivery through acquisition or change control.
• Enhance cloud capability by designing and implementing cloud-based data analytics architectures and patterns.
• Lead data migration and modernization initiatives by leveraging AWS-native services, Databricks, and IDMC.
• Work closely with business leads and system owners to understand solution requirements and identify architectural patterns.
• Develop and implement automation playbooks for managing and scaling cloud services, containers, and applications.
• Ensure compliance with industry best practices, governance, and security guidelines for cloud-based analytics solutions.
• Collaborate with DevOps and other Data Engineering teams to define, implement, and optimize data pipelines, ETL/ELT processes, and data lakes.
• Assist in vendor management to ensure that contracted vendors deliver architecturally scalable and sustainable solutions.

Requirements

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.

Technical Skills:

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.

Cloud Data & 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 modeling 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.

Soft Skills:

• Strong problem-solving and critical thinking skills.
• Ability to communicate complex technical solutions to non-technical stakeholders.
• Proven experience inworking 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 IDMC Certification