Senior Data Engineer
Core
Design and implement cloud-based data storage solutions, build resilient ETL/ELT pipelines, and support AI operations (MLOps) to enable data-driven decision-making.
Role type
Senior Data Engineer
Builds
Cloud data storage, ETL/ELT pipelines, data access layers (REST APIs), and MLOps infrastructure
Domain
Cloud infrastructure, Data Engineering, AI/ML Operations
Deliverable
production ML models | infrastructure
Required skills
Python, SQL/NoSQL schema design, ETL/ELT pipeline development, cloud database management, query tuning, CI/CD, Git, Docker, Kubernetes
Preferred skills
Streaming data (Kafka), edge computing, blockchain data indexing, RESTful API architecture, mentoring
Technologies
Python, SQLAlchemy, pytest, AWS RDS, Azure Database, Dagster, Apache Airflow, Kafka, Docker, Kubernetes, Git
Responsibilities
Design and implement robust, cloud-based data storage solutions; Develop, deploy, and maintain resilient ETL/ELT pipelines; Build and manage data access layers including REST APIs; Drive data governance and best practices; Support AI operations (MLOps) by managing versioning and deployment; Build monitoring and alerting systems
Seniority
Senior, hands-on IC
