Streaming Data Engineer @ Reply Polska
Core
Design, implement, test, and maintain highly scalable real-time stateless and stateful data transformations and ETL pipelines ensuring low latency and data quality.
Role type
Streaming Data Engineer
Builds
Automated, efficient, and scalable streaming applications and data platforms
Domain
Big Data / Streaming / Cloud Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
Kafka ecosystem, Flink, Python, Java, Kotlin, SQL, NoSQL, Apache Spark, Apache Iceberg, Docker, AWS, Azure
Preferred skills
Databricks, DBT, Kubernetes
Technologies
Kafka, Flink, Spark, Iceberg, Databricks, DBT, Docker, Kubernetes, AWS, Azure
Responsibilities
Design and implement robust, scalable data processing systems; Develop and maintain pipelines for data transformation, integration, and ETL processes; Monitor, tune, and optimize data applications and database performance; Provide expert advice and consultancy services to clients on data strategies and architecture choices; Assist in developing analytics platforms and business intelligence solutions; Work closely with clients to understand business needs and translate them into effective data engineering solutions
