- Expérience
- 6 à 8 ans
- Salaire
- —
- Ouvertures
- 1
- Publié
- il y a 2 heures
- Mode de travail
- Au bureau
- CV
- Candidature requise
Votre lieu de travail
Description de l'emploi
Role overview
This position is for an experienced data engineering professional focused on building and improving big data solutions in a Scala-based Hadoop and Spark environment.
Core technical focus
The work centers on data engineering development with Scala, along with hands-on design and development for large-scale data platforms. Strong familiarity with Spark, SparkSQL, HBase, Hive, and the broader Hadoop ecosystem is essential.
Key expectations
- Develop data engineering solutions using Scala.
- Contribute to the design and implementation of big data platforms.
- Work with modern data processing stacks, including Spark, SparkSQL, HBase, Hive, and related Hadoop technologies.
- Support streaming data architectures for real-time and low-latency processing.
- Apply agile development practices and principles during delivery.
- Understand continuous integration and delivery concepts and how they are applied in development workflows.
- Use NoSQL technologies when needed; experience with column-family, graph, document, and key-value stores is an added advantage.
Experience requirement
The role calls for 6 to 8 years of relevant experience in data engineering development.
Additional notes
No stipend or salary figure was provided in the source. No separate perks, vacancy count, start date, or application deadline was mentioned.