Data Engineer

Cloud Solutions:

Develop, deploy, and manage cloud-based applications and solutions using cloud services.

Optimize cloud infrastructure for performance, scalability, and cost-effectiveness.

Data Management:

Ensure data quality and consistency through data cleaning, transformation, and validation processes.

Perform complex data analysis and preprocessing on large datasets.

Design and implement scalable and robust data pipelines to support analytics and data processing needs.

Build data products

Write optimized SQL queries for data retrieval, manipulation, and reporting.

CI/CD Pipeline Management:

Design and implement CI/CD pipelines to automate application builds, testing, and deployment.

Maintain and improve existing pipelines for efficiency and reliability.

Requirements

Technical Skills:

• Proficiency in Python: Extensive experience in building and maintaining scalable, efficient applications.
• Proficiency in SQL: Strong knowledge of SQL for data manipulation and querying.
• Solid, in-depth knowledge of cloud services (Azure, AWS, GCP), with hands-on experience in developing, deploying, and managing applications.
• Experience with AI and machine learning frameworks and tools.
• Experience using Git for version control in collaborative development environments.
• Experience in integrating and managing CI/CD pipelines.

Experience:

• 4 to 6 years of experience in deploying machine learning models in production environments
• Hands-on experience with large datasets and data preprocessing.

Benefits

Technical Skills:

• Proficiency in Python: Extensive experience in building and maintaining scalable, efficient applications.
• Proficiency in SQL: Strong knowledge of SQL for data manipulation and querying.
• Solid, in-depth knowledge of cloud services (Azure, AWS, GCP), with hands-on experience in developing, deploying, and managing applications.
• Experience with AI and machine learning frameworks and tools.
• Experience using Git for version control in collaborative development environments.
• Experience in integrating and managing CI/CD pipelines.

Experience:

• 4 to 6 years of experience in deploying machine learning models in production environments
• Hands-on experience with large datasets and data preprocessing.