(Remote) Senior Data & Business Intelligence Engineer
Core
Design, build, and support enterprise Data Lake solutions, scalable ETL pipelines, and real-time analytics platforms for utility customers.
Role type
Senior Data & Business Intelligence Engineer
Builds
Enterprise Data Lakes, Lakehouses, and analytical data platforms
Domain
Utilities / Data Engineering
Required skills
Enterprise Data Lake/Lakehouse design, ETL/ELT development, Change Data Capture (CDC), event-driven architectures, real-time data processing, distributed systems, Linux system administration, advanced SQL, data modeling, data governance, observability, anomaly detection
Preferred skills
Modern Data Lakehouse architectures, real-time analytics, data observability, large-scale distributed systems
Technologies
Oracle Database, Debezium, Kafka, Kafka Connect, Apache Flink, Apache Iceberg, Nessie, StarRocks, Spark, Kyuubi, Power BI, Prometheus, VictoriaMetrics, Grafana
Responsibilities
Design and build enterprise Data Lake solutions from the ground up; Develop scalable ETL solutions and data pipelines; Move and process terabytes of data efficiently; Implement data quality, data governance, metadata, and lineage processes; Develop anomaly detection, monitoring, and alerting capabilities
Seniority
Senior, hands-on IC
