DATA MANAGEMENT ENGINEER – Full Stack
Pittsburgh, PA, United States
USD 120K-210K (estimate) Senior-level Full Time
Tasks
- Build CI/CD pipelines
- Build agentic solutions
- Collaborate with engineers on best practices
- Deploy and improve monitoring and reliability
- Design reusable ETL ELT components
- Develop data pipelines with Spark
- Develop solutions using AI based development
- Establish data flows for system integration
- Implement security and privacy principles
- Integrate data management technologies
- Maintain and enhance existing systems
- Set up automated testing tools
- Support deployment with change controls
- Translate business requirements to ETL ELT logical models
Perks/Benefits
Skills/Tech-stack
API | Airflow | AppDynamics | Azure | CI/CD | Control-M | Data Warehousing | Distributed Systems | ELT | ETL | Hadoop | Hive | Java | Kubernetes | Moogsoft | Oracle | Power BI | Python | SQL | SQL Server | Snowflake | Spark | Splunk | Test automation | Unit Testing
Education
Regions
Countries
States
Cities
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