Azure Data Engineer (Microsoft data warehouse/tools)

Our Client a supply chain operator is in the midst of expanding their IT Team. This is a great opportunity to join a growing data engineering team. You will be a part of a diverse and global team that is leading the way in developing cargo solutions that make supply chains more agile, resilient, and sustainable. Nearby MRT station is Pasir Panjang

What you'll do:

You will be engaged as a Data Engineer in a prominent group, supporting Data Analytics initiatives and a Global Data Analytics Platform (GDAP). Besides creating and maintaining data pipelines and models, enhancing GDAP features, you will work with other team members to promote a data culture and data analytics competency.

Job Description:

• Collaborate with business units globally to address their data analytics needs within GDAP.
• Ensure timely availability of high-quality data to facilitate data-oriented management decisions.
• Handle new data sources globally to provide data to the Global Data Analytics Platform on Azure Cloud.
• Implement automated Data Quality measures to identify and rectify bad quality data promptly.
• Design, construct, and maintain Datawarehouse models supporting global, regional, and local business units' data analytics needs.
• Create and maintain data pipelines for transforming and loading data from the data lake into Datawarehouse models.
• Manage data science sandbox, machine learning tools, Databricks, data marts, data catalog, data lineage, etc.
• Continuously enhance GDAP to maintain its relevance and readiness.
• Work collaboratively with the data analytics team at all stages of CRISP-DM Methodology.
• Adhere to data analytics policies, standards, and best practices, documenting as required.
• Organize data analytics workshops and seminars to promote a data culture and competency within the organization.

Technical Requirements:

• Degree preferably in Data Analytics or Computer Science.
• At least three years of hands-on experience as a Data Engineer, including two years using Microsoft data tools.
• Knowledge of data warehouse concepts and dimensional modeling.
• Hands-on experience in Azure Data Factory, Azure Synapse Analytics / Datawarehouse, Azure Analysis Services, and Python.
• Preferably certified as Azure Data Engineer Associate.
• Preferably experienced in using Semarchy xDM.
• Knowledge of additional tools like Azure Databricks, Azure HDInsight, Power BI, R, .Net, C#, NoSQL, or open-source data analytics software is advantageous.

Soft Skills Requirements:

• Strong project management skills.
• Analytical, meticulous, and a team player.
• Excellent written and oral communication skills in English, with additional language proficiency being advantageous.
• Ability to work under pressure towards fixed deadlines while maintaining high standards of work.

APPLY NOW! Interviews are ongoing! Email to dayna.chiam@stellar-link.com

We regret to inform that only shortlisted candidates would be notified.

Chiam Lee Ping Dayna

Consultant

Reg. No: R2764404

Stellar- Link Partners Pte Ltd (EA License: 21S0698)