Big Data engineer

Job role : Big Data engineer 

Experience : 4-6yrs 

Location :  Remote Opportunity 

Job description :

We seek a talented Data Engineer with AI & ML knowledge to join our team. As a Data Engineer or MLOps Engineer, your primary responsibility will be to develop & integrate ML solutions that focus on technology improvements. Specifically, you will be working on projects involving leveraging AI/ML for Data Management Efficiencies & Query Optimizations. 

Responsibilities:

• Collaborate with cross-functional teams such as Data Scientists, Product Partners and Partner Team Developers to identify opportunities for Big Data, Query ( Spark, Hive SQL, BigQuery, SQL ) tuning opportunities that can be solved using machine learning and generative AI.
• Write clean, high-performance, high-quality, maintainable code.
• Create backend applications using Python, docker, Google Cloud  & in-house ML frameworks to orchestrate end to end applications
• Design and develop Big Data Engineering Solutions & generative AI Applications for above ensuring scalability, efficiency, and maintainability of such solutions.
• Implement prompt engineering techniques to fine-tune and enhance LLMs for better performance and application-specific needs.
• Stay abreast of the latest advancements in the field of Generative AI Application Development and actively contribute to the research and development of new Generative AI Applications.

Requirements:

– A Master’s or Ph.D. degree in Computer Science or a related field.

– Proven experience working as a Big Data & MLOps Engineer, with a focus on Python, Google Cloud, Spark, Spark SQL, BigQuery, and Generative AI Applications. 

– Deep understanding and experience in tuning Dataproc, BigQuery, and Spark Applications.

– Solid knowledge of software engineering best practices, including version control systems (e.g., Git), code reviews, and testing methodologies.