DataOps Engineer

We are looking for a highly skilled DataOps Engineer with 2 to 7 years of experience to build and optimize data pipelines using modern tools like Airflow and Databricks. The ideal candidate will have a strong background in data operations and be able to work efficiently in a fast-paced environment.

Roles and Responsibility

• Design, develop, and implement data pipelines using Airflow and Databricks.
• Optimize existing data pipelines for better performance and efficiency.
• Collaborate with cross-functional teams to identify and prioritize project requirements.
• Develop and maintain documentation of data pipelines and architectures.
• Troubleshoot and resolve issues related to data pipeline failures or errors.
• Ensure data quality and integrity by implementing data validation and testing procedures.

Job Requirements

• Strong understanding of data operations principles and practices.
• Experience with Airflow and Databricks is required.
• Ability to design and implement scalable data pipelines.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.
• Ability to work in a dynamic and rapidly changing environment.

About Company

NCPL Inc. is a leading company in the industry, committed to delivering high-quality solutions and services to its clients.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.