Data Engineer / Data & AI Platform Engineer

Roles and Responsibilities :

• Design, develop, test, deploy, and maintain large-scale data pipelines using ETL/ELT tools such as Data Bricks and Python.
• Collaborate with cross-functional teams to gather requirements for data processing needs and implement solutions on Google Cloud Platform (GCP).
• Develop scalable architectures for big data processing using PySpark and cloud-based technologies like GCP.
• Troubleshoot issues related to data pipeline failures or performance problems.

Job Requirements :

• 8-20 years of experience in a similar role as a Data Engineer or equivalent position.
• Strong expertise in ETL/ELT/Data Engineering with hands-on experience working with Data Bricks, PySpark, and other relevant technologies.
• Proficiency in cloud-based platforms such as GCP is required; knowledge of multiple clouds is an added advantage.