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Data Engineer

AVENSYS CONSULTING PTE. LTD.β€’VERTEX, 33 UBI AVENUE 3, 408868, Singapore
ContractMid Level
$8k - $15k
per year
πŸ‘οΈ 0 viewsβ€’πŸ“ 0 applicationsβ€’Posted 7/31/2026β€’Expires 8/30/2026

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Job Description

Avensys is a reputed global IT professional servicescompany headquartered in Singapore. Our services include enterprise solutionconsulting, business intelligence, business process automation, and managedservices.

Given our decade of success, we have become one of the top trustedproviders in Singapore and service a client base across banking and financialservices, insurance, information technology, healthcare, retail, and supplychain. We are currently looking to hire a Data Engineer.

This is anexciting opportunity to expand your skill set andachieve job satisfaction and work-life balance. I've included moredetails below. JobDescription: The Data Engineer will be responsible for designing,developing, and maintaining scalable and reliable data pipelines on Databricksand cloud platforms.

The role requires integrating diverse data sources,ensuring high-quality data processing, and supporting analytics, reporting, andmachine learning workloads.

The role involves collaborating closely withanalytics, product, and infrastructure teams to enhance the company’s dataplatform while adhering to best practices for governance, monitoring, and reliability. What will you do? - Develop and maintain ETL pipelines for centralizeddata storage systems (e. g. Delta Lake).

- Integrate data from databases, APIs, log files,streaming platforms, and external providers - Develop data transformation routines to clean,normalize, and aggregate data - Apply data processing techniques to handle complexor inconsistent datasets - Contribute to frameworks and best practices for codedevelopment and deployment - Implement data governance in alignment with companystandards - Partner with analytics and product leaders to designand operationalize pipelines - Collaborate with infrastructure leaders to advancecloud-based data platforms - Explore new tools and techniques leveraging Azure,Databricks, or related platforms - Monitor data pipelines to detect and resolve issuespromptly - Develop monitoring tools, ale