Senior Cloud Data Platform Engineer

Jalandhar Sc

Singapore

On-site

SGD 120,000 - 180,000

Full time

8 days ago

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Job summary

Jalandhar Sc in Singapore is seeking a seasoned Cloud Data Engineer to design, build, and optimize data architectures across cloud storage, data lakes, and data warehouses. You will manage AWS-based services (S3, RDS, Redshift, DynamoDB), Databricks Delta Lake, and IDMC, ensuring data quality and governance in a cross-functional team.

You will collaborate with data scientists, analysts, and product teams to deliver reliable analytics and scalable pipelines.

Qualifications

  • Bachelor's degree in Computer Science, IT, Engineering, or Data Engineering.
  • 6+ years of professional Cloud/Data Engineering experience.
  • Hands-on AWS, Databricks, and Informatica IDMC expertise.
  • Strong analytical and problem-solving skills.
  • Ability to work both independently and in cross-functional teams.

Responsibilities

  • Manage and optimize cloud-based data storage solutions (S3, RDS, Redshift, DynamoDB).
  • Design and optimize Databricks Delta Lake environments.
  • Implement IDMC for metadata management, data catalogs, and governance.
  • Develop and optimize data pipelines using AWS Glue, Data Pipeline, Lambda, Databricks, and IDMC.
  • Integrate data from multiple sources into AWS and Databricks environments.
  • Design ETL/ELT processes to prepare data for analytics.
  • Leverage Databricks Spark for large-scale data processing.

Skills

Cloud Data Eng
AWS
Databricks
ETL/ELT
Data Warehousing
Data Governance

Education

Bachelor's degree in Computer Science, Information Technology, Engineering, Data Engineering, or a related discipline

Tools

AWS
Databricks
Informatica IDMC
Delta Lake
ETL Tools

Job description

Jalandhar Sc in Singapore is seeking a seasoned Cloud Data Engineer to design, build, and optimize data architectures across cloud storage, data lakes, and data warehouses. You will manage AWS-based services (S3, RDS, Redshift, DynamoDB), Databricks Delta Lake, and IDMC, ensuring data quality and governance in a cross-functional team.

You will collaborate with data scientists, analysts, and product teams to deliver reliable analytics and scalable pipelines.

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