Analytics Engineer
Tasks
- Apply CI/CD practices
- Build and maintain data pipelines
- Design optimized tables for performance
- Develop and deploy ETL and ELT
- Develop reusable data assets
- Document data transformations and models
- Ensure PII encryption compliance
- Implement data modeling techniques
- Integrate batch and realtime data
- Manage code and jobs with DevOps
- Model dimensional and relational data
- Monitor data ingestion jobs
- Orchestrate jobs using DAG
- Perform data quality validation and auditing
- Translate business requirements into data models
Perks/Benefits
Skills/Tech-stack
Agile | Azure Data | Azure Data Factory | Azure DevOps | CI/CD | Data Factory | Data Lake | Data Vault | Data Warehouse | Deep learning | DevOps | Infrastructure as Code | Machine Learning | Neural Networks | NoSQL | OAuth | Power BI | PySpark | Python | REST API | SQL | Slowly Changing Dimensions | Spark | Star Schema | “as-code”
Education
Roles
Analyst | Analytics | Analytics Engineer | Data Analyst | Data Engineer | Engineer
Regions
Countries
States
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