Senior Data Engineer
USD 38K-40K (estimate) Senior-level Full Time
Tasks
- Automate data engineering tasks
- Build monitoring and alerting systems
- Collaborate on data architecture
- Define data platform technical strategy
- Design and build data engineering solutions
- Document technical designs and systems
- Guide scrum master and product owner on priority and effort
- Mentor team members
- Translate business analytics needs into technical solutions
Perks/Benefits
Skills/Tech-stack
Apache Airflow | Artificial Intelligence | Change Data Capture | Cloud Computing | Cloud platform | Data Capture | Data Governance | Data Management | Data Modeling | Data Movement | Data Processing | DevOps practices | Google Cloud | Google Cloud Platform | High Volume | High Volume Data Management | High-volume data | Kafka | Low Latency | Low Latency Data Movement | Low-latency data | Machine Learning | PostgreSQL | Python | Qlik Replicate | Real Time | Real-time Data | Real-time Data Processing | SAP | SQL | SQL Server | Serverless | SolarWinds DPA | Terraform
Education
Roles
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