Software Engineer Ii, Text Analytics

hace 3 días

Vicente López Buenos Aires, Argentina Medallia A tiempo completo

Overview:
We are more than a software company. We want to be known as a company that does the right thing, no matter the challenge or controversy. We are committed to creating a culture that values every person and every experience. Individual life experiences shape the way we interact with the world, which is why we encourage people to bring their whole selves to work each day. The strength of our global workforce is the most significant contributor to our success.

We believe: Every Experience Matters. Talent is Everywhere. All Belong Here.

At Medallia, we hire the whole person.

The Role and Team

At Medallia we are strongly betting on unstructured data processing using NLP techniques and Machine Learning models that enable companies to understand and improve their customers’ and employees’ experience. We plan to find new and better insights in increasingly larger volumes of data. And that’s why our Text Analytics team is growing.

In our team we are responsible for the pipelines and services to process data from various sources (reviews, user comments, chat transcripts, call center interactions and more), for different customers in a scalable and resilient fashion, working with technologies like Kafka, Kubernetes or S3 and integrating with services like Elasticsearch to build our distributed processing farm. The Text Analytics team is the engineering support for our Big Data challenges and we work very closely with the Data Science team.

We are looking for motivated engineers who want to work on text processing pipelines and scalability problems in distributed systems that handle very large volumes of data from very different sources.

Main technologies: Java, Kafka, S3, Docker, Kubernetes

**Responsibilities**:

- Ship software that is scalable and robust and then keep it humming.
- Implement and drive the technical roadmap and product implementation; participate in prioritization and planning pragmatically.
- Partner closely with dependent teams across engineering to ensure uninterrupted service.
- Identify gaps in knowledge, tools, and process and work with your manager & PM to address those.
- Incorporate the best development practices and habits and help build tooling to enforce the same.
- Work in small teams with innovative engineers in an agile environment with daily standups, demo days, code reviews and research spikes.

Qualifications:
Minimum Qualifications
- BA/BS degree in Computer Science or related technical discipline, or equivalent practical experience
- 2+years software development experience with Java
- Demonstrated fluency in written and spoken English

Preferred Qualifications
- Knowledge of Distributed Data Processing Systems
- Experience with API frameworks, e.g. Swagger or RAML, and API lifecycle infrastructure and management tools
- Performed software development in a production environment using a mainstream object-oriented programming language (Java, Java Libraries, Java Frameworks preferred)
- Relational Databases such as PostgreSQL

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