Engineer, Data Analytics Engineering

WD is building the infrastructure behind the AI-driven data economy.

As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time. That’s where we come in.

We combine deep engineering expertise with global-scale manufacturing to deliver the storage systems that make AI possible, powering hyperscale data centers, cloud platforms, and enterprise infrastructure worldwide.

This isn’t theoretical work. It’s real systems, at real scale, people solving some of the hardest challenges in technology today.

We’re looking for people who want to build, solve, and operate at that level.

Join us and let’s shape the future of data.

Job Description

Strong understanding of data integration, transformation, and database design.Experience in application development using Java, including building, maintaining, and integrating scalable applications, REST APIs, and backend services.
Proficiency in programming languages such as Python, Java, or Scala.
Knowledge of ETL and data pipeline frameworks (e.g., Apache Spark, Apache Airflow).
Understanding of big data technologies (e.g., Hadoop, Hive, HBase) and cloud platforms (e.g., AWS, Azure, GCP).
Experience in building and integrating GenAI solutions using LLMs, vector databases, and prompt engineering techniques.
Familiarity with GenAI frameworks and APIs (e.g., LangChain, OpenAI, Azure OpenAI, Hugging Face).
Good problem-solving skills and the ability to work in a fast-paced, collaborative environment.
Excellent communication and interpersonal skills to effectively collaborate with cross-functional teams.

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