Data Engineer

Our client, one of Asia-Pacific’s leading organizations is looking for:

Data Engineer

Responsibilities:

• Design, build, and operate production-grade data pipelines for data extraction, ingestion, transformation, and loading (ETL/ELT)

• Integrate data from on-premises systems, enterprise applications, APIs, databases, SaaS platforms, files, streams, cloud services, and other operational data sources

• Develop batch, incremental, change-data-capture(CDC), streaming, and event-driven ingestion patterns based on source-system and business requirements

• Build transformation pipelines that clean, enrich, standardise, join, aggregate, and structure raw data into trusted datasets

• Design secure and resilient mechanisms for transferring and synchronising data between on-premises, GCC, AWS, Azure, and other approved environments

• Design pipelines for failure handling, retry, recovery, idempotency, scalability, and changing data volumes

• Automate pipeline deployment, configuration, testing, and operation

• Design and maintain cloud-native and hybrid datastores, data lakes, and analytical datasets

• Develop data models that provide consistent representations of enterprise, operational, and asset information

• Design data architectures spanning on-premise infrastructure and cloud platforms

• Build trusted datasets and reusable data products for applications, dashboards, operational reporting, and analytics

Requirements:

• Minimum 3–5 years of experience in data engineering, cloud data engineering, analytics engineering, software engineering, or a related discipline

• At least 2 years of hands-on experience designing, building, and operating production-grade data pipelines

• Demonstrated experience with data extraction, ingestion, ETL/ELT, transformation, data modelling, and data quality

• Experience using AWS and/or Azure native data capabilities

• Experience integrating data from APIs, databases, enterprise systems, files, or streaming sources

• Experience implementing batch, incremental, CDC, and/or event-driven data pipelines

• Experience working with on-premises and/or cloud environments, with an understanding of hybrid integration patterns

• Experience applying software-engineering practices such as version control, automated testing, CI/CD, monitoring, and Infrastructure as Code to data solutions

----------------------------------------------------------------------------------------------------------------------------------- Interested applicants can also email CV at [email protected] (for faster processing, please state the exact job / position title applied “Data Engineer" Only shortlisted candidates will be notified. ----------------------------------------------------------------------------------------------------------------------------------- EA License Number: 10C3636 EA Personnel Name: Chauhan, Asmita EA Personnel Registration Number: R1980706 By submitting your resume and cover letter to apply for our job opening, you confirm that you have read the Data Protection Notice for Job Applicants (https://www.nsearchglobal.com/dp-notice/job-applicants) and you consent to the collection, use, and disclosure of your personal data for the purpose of verifying and evaluating your job application. Additionally, you have to notify and obtain consent from all individuals listed as your references to their data being collected and disclosed for the purposes related to your job application.