Big Data engineer

Experience : 4-6yrs

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 ensuring scalability, efficiency, and maintainability.

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

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.

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