Cloud Engineer

Jalandhar Sc; Singapore; On-site; SGD 120,000 - 180,000; Full time

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

Key Responsibilities

• Manage and optimize cloud-based data storage solutions includingAmazon S3, Amazon RDS, Amazon Redshift, Amazon DynamoDB, databases, data lakes, and data warehouses.
• Design, manage, and optimizeDatabricks Delta Lakeenvironments and data processing solutions.
• Implement and manageInformatica Intelligent Data Management Cloud (IDMC)for metadata management, data cataloging, integration, data quality, and governance.
• Develop, maintain, and optimize data pipelines for data ingestion, processing, transformation, and movement usingAWS Glue, AWS Data Pipeline, AWS Lambda, Databricks, and Informatica IDMC.
• Integrate data from multiple internal and external sources intoAWS and Databricksenvironments while ensuring data consistency, accuracy, quality, and reliability.
• Design and manageETL/ELT processesto cleanse, transform, enrich, and prepare data for analytics and reporting.
• LeverageDatabricks Apache Sparkcapabilities for large-scale data processing and transformation.

Qualifications

• Bachelor's degree inComputer Science, Information Technology, Engineering, Data Engineering, or a related discipline.
• 6+ years of professional experiencein Cloud Engineering, Data Engineering, or Cloud Data Platforms.
• Strong hands-on experience withAWS, Databricks, and Informatica IDMC.
• Strong analytical, troubleshooting, and problem-solving skills.
• Ability to work independently as well as collaboratively in a cross-functional environment.