Dataops Engineer

As a Dataops Engineer, you will play a crucial role in managing and optimizing data pipelines for efficient data operations. Your responsibilities will include: - Bachelor's degree in Computer Science, Information Systems, or a related field. - 5-10 years of experience in Data Engineering or DataOps roles. - Strong hands-on experience with ADF, ADLS, Snowflake, Azure DevOps, or similar CI/CD platforms. - Proficiency in SQL and scripting languages such as Python. - Solid understanding of ETL/ELT concepts and data warehousing. - Experience with source control (e.g., Git) and infrastructure as code (e.g., ARM templates, Terraform). - Knowledge of data security best practices in cloud environments. These qualifications will enable you to effectively contribute to the development and maintenance of data pipelines, ensuring smooth data processing and delivery.,