Description

Build and maintain scalable data management systems and infrastructure.

Responsibilities

• Design, construct, and maintain highly scalable data management systems and databases.
• Acquire data from primary and secondary sources while ensuring data quality and statistical efficiency.
• Develop custom software components, including specialized scripts, stored procedures, and analytics applications.
• Automate data deployment, monitoring, and management using DevOps principles and Docker.
• Implement data security, backup procedures, and regulatory compliance for data storage and access.

Required Skills

• 9 years of professional experience in data engineering.
• Proficiency in Core Python and SQL.
• Experience with Pandas and NumPy for data manipulation.
• Strong knowledge of Shell Scripting and REST APIs.
• Hands-on experience with Docker for deployment and optimization.
• Experience working within AWS or GCP environments.
• Ability to use Power BI for data visualization.
• Any Graduate degree.

Key Skills

Education

Any Graduate