Data Engineer - Senior

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

- Familiaritywith cloud platforms (AWS, GCP, Azure, OCI)

- Familiaritywith CDC and Debezium

- Familiaritywith Clickhouse

- Familiarity with data quality validation frameworks for data pipelines

- Familiarity with Data Lineage

- Familiaritywith 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

Our 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

Originally posted on Himalayas