Lead Data Engineer - Mergers & Acquisitions
Tasks
- Collaborate with stakeholders to align data strategy
- Design and build scalable data pipelines
- Develop reusable data products and APIs
- Implement monitoring alerting and event driven frameworks
- Implement testing and deployment best practices
- Improve tooling processes and performance
- Lead data architecture decisions
- Manage metadata and data governance
- Orchestrate containerized data workloads
- Prepare datasets for ML and AI use cases
- Profile data and define data models
- Provide technical guidance and code reviews
- Support LLM and AI driven workflows
- Troubleshoot and optimize data workflows
- Write production code in SQL and Python
Perks/Benefits
- Additional paid charity leave
- Flex location
- Group life insurance
- Multisport
- Private healthcare
- Recharge Fridays
- Take time program
- Training budget
- Vacation subsidy
Skills/Tech-stack
API Development | AWS | Agile | Alerting | Amazon EKS | Artificial Intelligence | Containerization | Data Governance | Data Lineage | Data Modeling | Data Quality | Data Security | Data Transformation | Data integration | Data profiling | Deployment | Docker | ETL | Event Driven | Event-driven architecture | LLM | Machine Learning | Metadata Management | Monitoring | Privacy | Python | SQL | Testing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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