Data Engineer
Core
Design, build, and optimize modern data platforms to connect data sources and enable reliable, scalable data for analytics, BI, and AI applications.
Role type
Data Engineer
Builds
Modern data platforms, data pipelines, and ETL/ELT processes for large organizations
Domain
Data Engineering & Cloud Infrastructure
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data pipeline development, ETL/ELT process design, SQL, Python, Cloud platform development, Data modeling, Data platform architecture, Performance optimization, Data quality management
Preferred skills
Microsoft Fabric, Databricks, Snowflake, Azure Data Factory, Synapse Analytics, Git, CI/CD, DevOps principles
Technologies
Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, Databricks, Snowflake, SQL, Python, Spark, Git, Kubernetes, AWS
Responsibilities
Design and develop data pipelines and ETL/ELT processes; Integrate data from internal and external sources; Develop data platforms in modern cloud environments; Model, transform, and expose data for analytics, BI, and AI; Improve performance, scalability, and data quality; Collaborate with architects, data scientists, analysts, and business stakeholders
Seniority
Mid-level, hands-on IC
