Data Engineer

SGF Global is currently partnering with EY Global Delivery Services (EY GDS) to identify experienced Data Engineers who are passionate about building scalable data solutions and leveraging modern cloud technologies to drive business transformation.

In this role, you will work on global projects, collaborating with cross-functional teams and stakeholders to design, build, and optimize enterprise data platforms that support advanced analytics and machine learning initiatives.

Key Responsibilities

✅ Design, build, and maintain scalable data products and pipelines.

✅ Develop Data Lake, Data Warehouse, and Lakehouse solutions using Databricks.

✅ Implement ETL/ELT, real-time, and near real-time data processing solutions.

✅ Collaborate with business and technical stakeholders to deliver data-driven solutions.

✅ Ensure data quality, performance, security, and scalability.

✅ Support DevOps and CI/CD practices across data engineering initiatives.

Qualifications

4+ years of experience as a Data Engineer.

Strong hands-on experience with Databricks on AWS and/or Azure.

Experience with Data Modeling, Data Lakes, Data Warehouses, and Lakehouse architectures.

Knowledge of cloud platforms such as AWS and Azure.

Experience with BI tools such as Power BI or Tableau.

Strong communication skills and a consulting-oriented mindset.

Why Consider This Opportunity?

Join a globally recognized organization through EY GDS.

☁️ Work with modern cloud and data technologies.

Contribute to large-scale enterprise transformation initiatives.

Collaborate with international teams on high-impact projects.

If you're interested in learning more about this opportunity with EY GDS , feel free to apply or send me a direct message.