Senior Analytics Engineer
Tasks
- Apply statistical techniques and analytical models
- Approve database specifications
- Build and maintain APIs
- Build and maintain data discovery and profiling
- Build and maintain data models schemas and metadata
- Define data policies standards and guidelines
- Define data practices strategy and framework
- Design and automate data pipelines
- Design scalable data architecture
- Develop reusable governed analytical assets
- Drive data strategy and architecture roadmap
- Ensure data governance and data quality validation
- Ensure data protection and compliance
- Establish data delivery methods
- Execute data initiatives
- Implement data lineage in metadata hub
- Implement data validation and reconciliation in pipelines
- Implement metadata and lineage
- Install and test complex databases
- Lead enterprise data standards and processes
- Lead junior engineers and manage performance
- Mentor and train data analytics engineers
- Monitor and improve pipeline performance
- Optimize self service data access
- Oversee data engineering analysis
- Perform data modeling
- Perform data testing and validation
- Perform impact analysis
- Provide data management guidance
- Review and govern work from data teams
- Translate business requirements into data solutions
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | Analytics engineering | Azure | Cloud Computing | Data Architecture | Data Contracts | Data Governance | Data Lineage | Data Modeling | Data Pipelines | Data Quality | Data Reconciliation | Data Validation | Data Vault | Data discovery | Data profiling | Databricks | Dimensional Modeling | ETL | Metadata Management | Microsoft Fabric | Object-Oriented | Relational modeling | Statistical Analysis
Education
Master of Arts | Master of Engineering | Master of Science | PhD
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