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
- Experience with 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
Nice to have:
- Experience with workflow orchestration tools such as Apache Airflow
- Experience with Kubernetes and containerization
- Familiarity with cloud platforms (AWS, GCP, Azure, OCI)
- Familiarity with CDC and Debezium
- Familiarity with Clickhouse
- Familiarity with data quality validation frameworks for data pipelines
- Familiarity with Data Lineage
- Familiarity with low-latency NoSQL datastores (such as HBase, Cassandra, MongoDB), Relational databases (such as MySQL, Postgres) and Search systems (such as ElasticSearch, Solr)
- Masters, PhD, or equivalent experience in Software Engineering, Mathematics or Computer Science
Main Advantages
- 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
