Aws Data Engineer

COGNIZANT TECHNOLOGY SOLUTIONS ASIA PACIFIC PTE. LTD.

Pasir Panjang, Singapore
Sgd 8,000 - 10,000 / monthly pm
On-site
Cloud-native data engineering on aws or azure
Sql expertise in relational databases and data warehouses
Experience with distributed computing frameworks like apache spark
Cognizant Technology Solutions is seeking an AWS Data Engineer to design and maintain scalable data pipelines and workflows in their Singapore office. The ideal candidate should have significant experience in data engineering, strong SQL skills, and familiarity with cloud services and data processing frameworks

Job Summary

  • Design, build, and maintain scalable data pipelines, ETL/ELT workflows, and data integration processes.
  • Collaborate with cross-functional teams to deliver cloud-native data engineering solutions on AWS or Azure.
  • Apply DevOps practices including CI/CD automation, Infrastructure as Code, and containerization.

Matching Summary

Match Score: 85

Cognizant Technology Solutions is seeking an AWS Data Engineer to design and maintain scalable data pipelines and workflows in their Singapore office. The ideal candidate should have significant experience in data engineering, strong SQL skills, and familiarity with cloud services and data processing frameworks.

Salary

SGD 8,000 - 10,000 / Monthly

Skills & Requirements

Must-have

  • Cloud-native data engineering on AWS or Azure
  • SQL expertise in relational databases and data warehouses
  • Experience with distributed computing frameworks like Apache Spark
  • Data integration and ETL/ELT workflow development
  • DevOps practices including CI/CD automation and IaC
  • Proficiency in Python, Java, or .NET programming

Nice-to-have

  • Familiarity with orchestration tools like Apache Airflow or Azure Data Factory
  • Experience with NoSQL databases such as DynamoDB or CosmosDB
  • Knowledge of containerization and Terraform
  • Understanding of resilient and secure data architecture design

Key Requirements

  • Minimum 3 years professional data engineering experience
  • At least 2 years working with cloud-native data services
  • Strong SQL and data modeling skills
  • Experience with CI/CD pipeline development
  • Knowledge of Infrastructure as Code tools

Work Rights

Not specified

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