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.
- Robust 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.
📌 Data Engineer (Chennai)
🏢 Srinav
📍 Chennai
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