Senior Data Engineer
Summary
A senior data engineer who designs, builds, and maintains scalable ETL/ELT pipelines, enterprise data warehouses, and data models on cloud platforms, while establishing data quality and governance practices. Also troubleshoots integration issues and mentors junior engineers.
• Design, develop, and maintain scalable data pipelines and integration solutions
• Build and optimize ETL/ELT workflows to ingest, transform, validate, and load data
• Develop and maintain enterprise data warehouses, data marts, and analytical datasets
• Design and implement logical and physical data models
• Integrate data from APIs, enterprise applications, flat files, connectors, and scheduled data feeds
• Translate business requirements into technical data solutions
• Establish data quality controls, validation processes, and monitoring mechanisms
• Create and maintain metadata, data dictionaries, lineage documentation, and technical specifications
• Optimize database performance, query efficiency, and data processing capabilities
• Support enterprise work management and workflow platforms and their integrations
• Develop reusable data engineering frameworks, standards, and best practices
• Enable scalable reporting and self-service analytics
• Troubleshoot data integration issues, perform root cause analysis, and implement sustainable solutions
• Support data governance, compliance, security, and privacy requirements
• Mentor junior data engineers and provide technical leadership on complex data initiatives and enterprise projects
Requirements
- Deep expertise in cloud-based data platforms
- Experience with data warehousing
- Experience with ETL/ELT development
- Experience with data modeling
- Experience with enterprise application integrations
- Ability to design, develop, implement, and maintain scalable data solutions
- Ability to develop and optimize enterprise data platforms, data pipelines, and data integration frameworks
- Ability to establish data quality controls, validation processes, and monitoring mechanisms
- Knowledge of data governance, compliance, security, and privacy requirements
- Ability to troubleshoot data integration issues and perform root cause analysis
- Ability to mentor junior data engineers and provide technical leadership
Core Competencies
Demonstrates expertise in designing and developing scalable data pipelines, ETL/ELT workflows, and enterprise data solutions while ensuring data quality, governance, and compliance. Provides technical leadership and mentorship to junior data engineers on complex data initiatives.
Highest-signal resume keywords
- Cloud-Based Data Platforms
- Data Warehousing
- ETL/ELT Development
- Data Modeling
- Data Governance
ATS Optimization Keywords
Hard Skills
- Data Pipeline Development
- ETL/ELT Workflows
- Data Integration Frameworks
- Data Quality Controls
- Root Cause Analysis
- Data Modeling
- Database Performance Optimization
- Data Transformation
- Data Validation Processes
- Metadata Management
Soft Skills
- Technical Leadership
- Mentoring
Industry Keywords
- Data Governance
- Compliance
- Security
- Privacy Requirements
Tools & Technologies
- APIs
- Enterprise Applications
- Data Warehouses
- Data Marts
- Workflow Platforms