BI Data Engineer
Core
Design, develop, and maintain Enterprise Data Warehouses, Data Lakes, and Data Lakehouse solutions while building optimized ETL/ELT pipelines and self-service BI architectures.
Role type
Senior BI Data Engineer
Builds
Enterprise Data Warehouses, Data Lakes, Data Lakehouse solutions, ETL/ELT pipelines, dashboards, and KPIs
Domain
Cloud data engineering and Business Intelligence
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Enterprise Data Warehouse design, Data Lake/Lakehouse architecture, SQL, relational and NoSQL databases, ETL/ELT pipeline development, data modeling (dimensional, star/snowflake), OLAP, data integration, Change Data Capture, cloud data platforms, data governance, data lineage, data observability, CI/CD, infrastructure-as-code
Preferred skills
Power BI, Tableau, Qlik, dbt, Informatica, Talend, Azure Data Factory, Microsoft Data Analyst Associate certification, Microsoft Azure Data Engineer Associate certification, Amazon Certified Data Analytics Specialty certification
Technologies
Power BI, Tableau, Qlik, dbt, Informatica, Talend, Azure Data Factory, SQL, NoSQL
Responsibilities
Design scalable data models and modern BI architectures, optimize database and platform performance, implement data quality and governance practices, automate deployments, produce technical documentation, and enable business users through certified datasets
Seniority
Senior, hands-on IC
