Job Title : MLE Manager

Job Description :

We are seeking a highly skilled Data Engineer with expertise in Python, PySpark, SQL, and NoSQL databases to design, develop, and maintain scalable data solutions. The ideal candidate will have experience working with AWS cloud services and a strong understanding of cloud-based data architecture for machine learning and analytics.

Responsibilities :

- Develop and optimize data pipelines using Python and PySpark for large-scale data processing.

- Design, implement, and manage SQL and NoSQL databases to support various data storage needs.

- Leverage AWS cloud technologies including AWS Glue, SageMaker, Bedrock, and related services to build and deploy data and machine learning solutions.

- Architect scalable and secure data workflows in the cloud environment.

- Collaborate with data science and analytics teams to facilitate data access and integration.

- Manage multiple databases, understanding their types and use cases to ensure efficient data management.

Requirements :

- Proven experience in Python and PySpark programming.

- Strong knowledge of SQL and NoSQL database systems (e.g., DynamoDB, MongoDB, Cassandra).

- Hands-on experience with AWS cloud services, especially Glue, SageMaker, Bedrock, and architecture design for MLE projects.

- Familiarity with data modeling, ETL/ELT processes, and data warehousing.

- Understanding of different database types and their appropriate use cases.

- Excellent problem-solving and communication skills.

Preferred :

- Experience with MLOps and deploying machine learning models in cloud environments.

- Knowledge of data security and compliance best practices in cloud architectures.

This role offers an opportunity to work on cutting-edge cloud data infrastructure and machine learning solutions.