Data Engineer
Core
Designing, building, and maintaining scalable data platforms and pipelines to support operational decision-making and analytics.
Role type
Data Engineer
Builds
Scalable data platforms, pipelines, and production-grade data models
Domain
Cloud data engineering (Azure, Databricks, Snowflake)
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data pipeline design, ETL/ELT, SQL, Python, Big data technologies (Spark, Hadoop, Kafka), Data modeling (medallion architecture, data vault), Cloud services, dbt
Preferred skills
Azure Data Engineering certification, Databricks certification, Snowflake certification, DevOps practices, CI/CD pipelines
Technologies
Azure Fabric, Databricks, Snowflake, Spark, Hadoop, Kafka, dbt
Responsibilities
Design and manage robust data pipelines and architectures; Implement solutions on Azure Fabric, Databricks, and Snowflake; Optimize data workflows for reliability and scalability; Perform data modeling and extraction/transformation/loading; Design batch and real-time ingestion frameworks with monitoring
Seniority
Mid-level (3+ years experience)
