Dataops Engineer

As a Dataops Engineer, you will play a crucial role in the data engineering and DataOps processes. 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. - Proficient 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. Your qualifications should include a Bachelor's degree in Computer Science, Information Systems, or a related field, along with 5-10 years of experience in Data Engineering or DataOps roles. Additionally, you should have strong hands-on experience with ADF, ADLS, Snowflake, Azure DevOps, or similar CI/CD platforms. Proficiency in SQL and scripting languages such as Python is essential, along with a 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) will be beneficial. Knowledge of data security best practices in cloud environments is also required.,