Engineer, Data Analytics Engineering
The role focuses on designing and maintaining data integration pipelines and analytics platforms using technologies such as Apache Spark, Airflow, and cloud services. It also involves building GenAI components with LLMs, vector databases, and prompt engineering to support advanced analytics.
Skills required
About this role
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
BE
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.
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