Sr. Data Engineer 4B
Core
Design and build scalable data processing solutions, pipelines, and infrastructure to ingest, transform, integrate, and store large volumes of data for complex business operations.
Role type
Senior Data Engineer
Builds
Scalable data processing systems, data pipelines, and data infrastructure
Domain
Big Data, Cloud Engineering, Data Warehousing
Deliverable
production ML models
Required skills
Python, Apache Spark, Apache Kafka, Cloud platforms, Databricks, Snowflake, Docker, Kubernetes, Git, Data ETL, Data Integration, Streaming, Data Quality, Data Warehousing, System Performance Monitoring
Preferred skills
Mentoring junior engineers, Troubleshooting complex technical challenges, Continuous improvement of data systems
Technologies
Azure, Databricks, Snowflake, Apache Spark, Apache Kafka, Docker, Kubernetes, Git
Responsibilities
Design and develop scalable data processing systems; Build and manage data pipelines for ingestion, processing, transformation, integration, and storage; Optimize data infrastructure, workflows, and processing systems; Collaborate with data scientists, data analysts, and technical stakeholders; Troubleshoot and resolve data pipeline, integration, quality, and infrastructure issues; Monitor system performance and data quality; Mentor junior data engineers
Seniority
Senior, hands-on IC with mentorship responsibilities
