Senior Data Engineer
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Job Description
Data Engineer building scalable data products and pipelines for SOFTSWISS’s enterprise analytics platform. Working with Spark, Kafka, Delta Lake, and modern data infrastructure.
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
- 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
Requirements:
- 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 building ETL pipelines for feature engineering on large-scale datasets using Apache Spark and Delta Lake
- Experience sourcing and modelling data from application APIs
- Experience building stream-processing applications using Spark-Streaming, Kafka Streams or others
- Experience designing and implementing monitoring, alerting, and observability solutions for data pipelines using Prometheus, Grafana, Alertmanager or others
- Strong analytical and problem-solving skills
- Upper-intermediate proficiency in English and strong command of Russian
- Master's, PhD, or equivalent experience in Software Engineering, Mathematics or Computer Science (nice to have)
Benefits:
- Private health insurance
- Sports benefits
- Comprehensive Mental Health Program
- Free English lessons (online)
- Local language courses
- Paid time off
- Maternity leave support
- Referral program rewards
- Upskilling, internal workshops, and participation in professional conferences and corporate events
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