Cloud Data Engineer
As a Cloud Data Engineer, you will design and develop scalable data processing solutions using cloud-based services. You will collaborate with cross-functional teams to understand data requirements and deliver clean, reliable datasets.
* Design and develop high-performance data processing solutions with Apache Spark (PySpark) on cloud-based platforms
* Collaborate with data scientists, analysts, and business stakeholders to identify and prioritize data engineering initiatives
* Develop and maintain data pipelines using cloud-based tools and technologies
* Optimize data workflows/pipelines for performance and cost efficiency in the cloud
* Implement best practices around data security, governance, and compliance
What We Offer:
* Professional development and continuous skill enhancement
* Opportunities to work on diverse projects and collaborate with global teams
* A dynamic and innovative environment that fosters creativity and growth
Our comprehensive benefits package includes health insurance, dental plan, life insurance, transportation vouchers, meal vouchers, childcare assistance, gym membership, and more. Additionally, employees have access to free online courses and live training through our learning portal and may be eligible for international experience opportunities and reimbursement of certifications.
Requirements:
* Experience with cloud-based data services (cloud data factory, cloud databricks)
* Knowledge of columnar and table formats (Parquet, Delta)
* Use of data quality tools (Great Expectations)
* Knowledge of event-driven architecture patterns
* Best practices for API security
The ideal candidate will possess excellent communication and teamwork skills, be proactive in problem-solving, and able to handle agile environments and rapid changes. If you are passionate about data engineering and want to grow your career in a dynamic and inclusive environment, apply now!