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Data Engineer - Senior
SeniorremoteRemote: Georgia; Lithuania; Poland; Serbia; UTC+1 to UTC+4, LT3d ago
Market insights
📊 Data Engineering: salaries and demand on the marketDetails
- Experience
- 5+ years
- English
- C1, required
- Education
- PhD or equivalent experience
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Overview:
We invite you to join our Data Platform team — building the data infrastructure that powers analytics and insights for SOFTSWISS . We process enterprise-scale data and serve multiple internal teams across the company.
In this role, you'll have the opportunity to:
- Work with modern data stack and AI tools to build complex solutions
- Design solutions to technical challenges and influence platform architecture
- Research, develop and integrate new data processing tools and technologies
Key responsibilities:
- Build business-critical, robust and self-service data products using Apache Spark, Kafka, Delta Lake and other big data technologies
- Ensure pipeline performance and data quality through scalable architecture and optimization
- Refine data solutions as business requirements and technical constraints evolve
- Collaborate with teams to understand data needs and support adoption of data products across the company
Required Experience:
- 5+ years of software engineering experience with expertise in development, deployment, and integration
- Proficiency in at least one high-level programming language (Scala, Java, Python or equivalent)
- Experience in data environments, such as Data Lakes, Data Warehouses, Data Marts, Data transformation concepts and working with large data volumes
- Experience in building ETL pipelines to perform feature engineering on large-scale datasets using Apache Spark and Delta Lake
- Experience with sourcing and modelling data from application APIs
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