Helius Technologies Hiring! Full Time Cloud Engineer in - Ricebowl

About the job

At Helius Technologies , we help organisations deliver technology outcomes that work in the real world.

Our teams support complex technology initiatives across Asia and the Middle East , particularly in regulated and enterprise environments where reliability, governance, and execution matter.

Our focus is simple: to be a trusted partner in technology transformation — delivering outcomes reliably and built to last.

We are currently looking for a [Cloud Engineer] to join our team in [Singapore].

In this role, you will work with engineering teams, stakeholders, and delivery leads to support the execution of technology initiatives. The role is suited to professionals who combine strong technical capability with a structured and accountable approach to delivery.

If you are interested in opportunities with Helius, you may apply through the relevant job listing or share your profile with us at *************.

We value individuals who bring depth, accountability, and a strong commitment to quality.

Roles And Responsibilities:

• Manage and Optimise existing data storage solutions, including databases, data lakes, and warehouses, using AWS services such as Amazon S3, Amazon RDS, Amazon Redshift, and Amazon DynamoDB, along with Databricks' Delta Lake. Integrate Informatica IDMC for metadata management and data cataloging.

• Manage and optimize data pipelines for ingesting, processing, and transforming data using AWS services like AWS Glue, AWS Data Pipeline, and AWS Lambda, Databricks for advanced data processing, and Informatica IDMC for data integration and quality.

• Integrate data from various sources, both internal and external, into AWS and Databricks environments, ensuring data consistency and quality, while leveraging Informatica IDMC for data integration, transformation, and governance.

• Manage ETL (Extract, Transform, Load) processes to cleanse, transform, and enrich data, making it suitable for analytical purposes using Databricks' Spark capabilities and Informatica IDMC for data transformation and quality.

• Monitor and optimize data processing and query performance in both AWS and Databricks environments, making necessary adjustments to meet performance and scalability requirements. Utilize Informatica IDMC for optimizing data workflows.

• Implement security best practices and data encryption methods to protect sensitive data in both AWS and Databricks, while ensuring compliance with data privacy regulations. Employ Informatica IDMC for data governance and compliance.

• Implement automation for routine tasks, such as data ingestion, transformation, and monitoring, using AWS services like AWS Step Functions, AWS Lambda, Databricks Jobs, and Informatica IDMC for workflow automation.

Important Note:

> Please share your resume in word format with *************

> Important Note: If this requirement is not a match for you please refer to your friends.

> Interested professionals can reach out to me for Confidential Discussion @ +65- *************.

Best Regards,

Dilip Kumar Daga

Vice President - Strategic Accounts

Helius Technologies Pte Ltd

36, Robinson Road,#13-05, City House, Singapore 068877

DID: +*************-9407

Mobile: +*************-4050

Fax: +*************

Email id: *************

*************

Registration No : R1108376

EA Licence No : 11C3373

*************