Data Engineer (Java & Scala)
New
Ability to work fully remotely within EuropeFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- English (C1 level)
- Experience
- 5–7 years
- Required Skills
- AgileETLHadoopJavaData engineeringSparkRESTful APIsJSONScalaData modeling
Requirements
- 5–7 years of experience as a Data Engineer or in a similar data-focused engineering role.
- Strong programming skills in Java and Scala.
- Solid experience with big data technologies such as Hadoop, Spark, Ab Initio, and Informatica.
- Strong understanding of ETL processes, data modeling (relational and object-oriented), and data mapping techniques.
- Experience working with RESTful APIs, JSON, and system integration workflows.
- Familiarity with DevOps practices, version control systems, and Agile methodologies.
- Strong analytical skills with the ability to identify and resolve data quality issues.
- Fluent English communication skills (C1 level) are required.
- Ability to work fully remotely within Europe.
Responsibilities
- Design, develop, and maintain scalable data pipelines and integration solutions using Java, Scala, and big data technologies.
- Build and optimize ETL processes, ensuring efficient data movement, transformation, and storage across complex systems.
- Support system integration and data science initiatives, particularly in fraud detection, compliance, and predictive analytics domains.
- Work with distributed processing frameworks such as Hadoop and Spark to process large-scale datasets.
- Implement data mapping, validation, and quality management processes to ensure accuracy and reliability of data assets.
- Develop and maintain APIs and data exchange mechanisms using RESTful services and JSON-based structures.
- Collaborate with DevOps and engineering teams to support deployment, monitoring, and operational stability of data platforms.
- Contribute to Agile development cycles, including design discussions, estimations, and iterative delivery.
- Troubleshoot and resolve data-related issues across relational and non-relational data systems.
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