Engineer, Data Analytics Engineering

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.

Qualifications
Bachelor of engineering

Additional Information
WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at  jobs.accommodations@wdc.com  to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to  WD Ethics Helpline  or email compliance@wdc.com .

Company Description
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.