Mid Level Data Engineer
Core
Build and maintain scalable data pipelines and modern data architectures for international clients.
Role type
Mid-level data engineer
Builds
Reliable data pipelines, data ingestion, transformation, and processing workflows
Domain
Cloud data engineering, big data processing
Deliverable
production ML models | product features
Required skills
Databricks, PySpark, Python, Microsoft Azure, Kafka, relational databases (MySQL, SQL Server), NoSQL databases (Couchbase), data pipeline development, data integration, distributed processing
Preferred skills
Modern data architecture, large-scale data environments, Agile practices, international collaboration
Technologies
Databricks, PySpark, Python, Azure, Kafka, MySQL, SQL Server, Couchbase
Responsibilities
Design and maintain scalable data pipelines; build data ingestion and transformation workflows; integrate data from multiple sources; troubleshoot pipeline issues; contribute to cloud-based data platform evolution
Seniority
Mid-level, hands-on IC
