Data Engineer at VISEO ASIA PTE LTD

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

19 Mar, 26

Salary

0.0

Posted On

19 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Pipeline Development, Data Architecture, Collaboration, Data Quality Governance, Performance Optimization, Leadership Mentorship, Innovation Research, SQL, Python, ETL Tools, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Power BI, Big Data Technologies, Cloud Platforms, Data Security

Industry

IT Services and IT Consulting

Description

The Senior Data Engineer plays a critica role in designing, developing, and maintaining scalable data infrastructure and pipelines. This position supports data-driven decision-making across the organization by ensuring data quality, accessibility, and performance. Roles and Responsibilities Data Pipeline Development: Design, build, and maintain robust, scalable data pipelines using tools like Apache Airflow, Kafka, and Spark. Data Architecture: Develop and optimizedata models, data warehouses, and ETL processes to support analytics and machine learning initiatives. Collaboration: Work closelywith data scientists, analysts, and software engineers to understand data requirements and deliver tailored solutions. Data ǪualityG Governance: Ensure data integrity, implement validation checks, and enforce data governance policies. Performance Optimization: Monitor and improvedata processing speed,system uptime, and query performance. Leadership G Mentorship: Guide junior engineers, promote best practices, and foster a culture of continuous learning. Innovation G Research: Stay updated with emerging technologies in AI, automation, and data streaming; lead initiatives to integrate them into existing systems. Profile Bachelor's or Master's in computer science, data science, information technology, or a related field, with 6+ years of experience. Proficiency in SǪL, Python, and ETL/ELT tools Experience in Microsoft solutions are as follows: Azure Data Factory Microsoft Fabric Azure Synapse Analytics Azure Databricks Power BI Azure SǪL Database/ SǪL Server Azure Purview Experience with big data technologies (Hadoop, Spark) Familiarity with cloud platforms(Azure, AWS, and GCP) Strong understanding of data modelling, data warehousing, and stream processing Knowledge of data security, compliance, and governance Knowledge of CI/CD pipelines using Azure DevOps Understanding of data security and compliance(e.g., GDPR, HIPAA) GDPR MESSAGE: Our privacy policy has been updated to comply with the new regulations. We invite you to consult it by clicking here: https://www.viseo.com/fr/politique-de-confidentialite. The VISEO Group uses the data collected as part of your application to assess your suitability for the job in question. We use the Jazz HR tool to help us in our recruitment process. This tool complies with current regulations on the protection of personal data. The tool is hosted in the United States and is PrivacyShield certified for HR data. In all cases, we may keep your file for 5 years so that we can contact you again if another position matches your profile. You may, of course, object to this. To find out more about how your data is used and how you can exercise your rights, please consult our privacy policy https://www.viseo.com/fr/politique-de-confidentialite.

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Responsibilities

The Senior Data Engineer is responsible for designing, developing, and maintaining scalable data infrastructure and pipelines. This role supports data-driven decision-making by ensuring data quality, accessibility, and performance.