Scalable Data Engineer for Eeze
hace 4 días
About Eeze
Eeze is a leading company in the field of data-driven solutions, and we are currently seeking an experienced Scalable Data Engineer to join our team. As a Scalable Data Engineer at Eeze, you will play a critical role in designing and implementing scalable solutions to meet business requirements.
Salary: The estimated salary for this position is €80,000 - €110,000 per year, depending on experience and qualifications.
Job Description
The ideal candidate will have 3-5 years of experience with Scala/Spark in relevant projects and expertise in creating Scala/Spark jobs for data transformation and aggregation. A strong background in agile development methodologies and handling tight deadlines is essential.
Key Responsibilities:
- Develop Scala/Spark programs, scripts, and macros for data extraction, transformation, and analysis.
- Design and implement scalable solutions to meet business requirements.
- Support and maintain existing Hadoop applications and related technologies.
- Create and maintain metadata, user access, and security controls.
- Develop and maintain technical documentation, including data models, process flows, and system diagrams.
Required Skills and Qualifications:
- 3-5 years of experience with Scala/Spark in relevant projects.
- Expertise in creating Scala/Spark jobs for data transformation and aggregation.
- Proficiency in agile development methodologies and handling tight deadlines.
- Experience with unit testing and peer code reviews.
- Building and deploying JARs through Jenkins pipelines.
- Root cause analysis for bugs.
- Familiarity with the Hadoop ecosystem, including Hive (HQL), Oozie, and shell scripting.
- Version control systems such as Git and monitoring tools like Splunk.
Benefits:
We offer a unique opportunity to work on critical data-driven projects with a forward-thinking team. If you meet the qualifications and are ready to contribute your expertise, we encourage you to apply.
Location: Stockholm, Sweden
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