Data Engineer
Core
Design and build scalable batch and streaming data pipelines to power analytics, reporting, and business-critical insights for Fortune 500 clients.
Role type
Senior Data Engineer (Cloud & Distributed Systems)
Builds
High-performance ETL/ELT workflows, ClickHouse clusters, and data ingestion pipelines for large-scale analytical workloads.
Domain
Advertising Technology / Big Data Analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL (query optimization), ClickHouse, PostgreSQL, Java/Python, Apache Kafka, Cloud platforms (AWS/GCP/Azure), Docker, Kubernetes, Data modeling, Observability
Preferred skills
Looker, Apache Spark, Airflow, Advertising technology (DSP, RTB, Attribution), Large-scale systems (billions of records)
Technologies
ClickHouse, PostgreSQL, Kafka, MongoDB, AWS, GCP, Azure, Docker, Kubernetes, Spark, Airflow, Looker
Responsibilities
Design scalable batch and streaming data pipelines; Develop and optimize ETL/ELT workflows; Own and optimize ClickHouse clusters; Design efficient data models for reporting; Build data ingestion pipelines from diverse sources; Improve performance of large SQL workloads; Build monitoring and anomaly detection systems.
Seniority
Senior, hands-on IC
