Senior Data Engineer
Core
Design, develop, and maintain scalable ETL/ELT data pipelines, integrate data from multiple sources, and optimize data processing workflows for analytics and operational platforms.
Role type
Senior Data Engineer
Builds
Enterprise data pipelines, data models, and schemas supporting reporting and analytical requirements
Domain
Data Engineering, Cloud Platforms, Big Data
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, ETL/ELT frameworks, Cloud platforms (AWS/Azure/GCP), Big Data technologies (Hadoop/Spark/ClickHouse), Data modeling, Data governance
Preferred skills
Data integration, Data quality management, Automation
Technologies
Apache Airflow, Talend, AWS, Microsoft Azure, Google Cloud Platform (GCP), Hadoop, Apache Spark, ClickHouse
Responsibilities
Design and maintain scalable ETL/ELT pipelines, Optimize data processing workflows for performance, Write and optimize complex SQL queries, Collaborate with stakeholders to translate data requirements, Monitor and resolve data-related issues, Implement data governance and security best practices, Document data processes and technical solutions
Seniority
Senior, hands-on IC
