Senior Data Engineer
Tasks
- Apply data modeling and debugging
- Build and manage data platforms
- Build data quality dashboards
- Conduct controlled experiments and statistical analysis
- Consume and develop REST APIs
- Deploy machine learning models
- Design data architectures
- Develop data pipelines
- Develop machine learning solutions
- Document data lineage and classifications
- Extract and validate raw data
- Implement Continuous Integration and Continuous Delivery
- Implement data quality checks
- Monitor pipeline health
- Perform root cause analysis
- Support data governance compliance
- Transform raw data into compatible formats
Perks/Benefits
- N/A
Skills/Tech-stack
ARIMA | Apache Spark | Azure | Azure Cognitive | Azure Cognitive Services | Azure Data | Azure Data Explorer | Azure Data Factory | Azure Databricks | Azure Fabric | Azure Machine Learning | Azure Synapse | Azure subscriptions | Bias Variance | Bias-Variance Tradeoff | C# | CI/CD | Cause analysis | Classification | Clustering | Cognitive Services | Continuous Delivery | Continuous integration | Cross-validation | Dashboarding | Data Explorer | Data Factory | Data Governance | Data Lineage | Data Modeling | Data Pipelines | Data leakage | Delta Lake | Dimensionality Reduction | Docker | ETL | Encoding | Forecasting | Gradient boosting | Hadoop | Image Recognition | K-Means | KQL | Language Processing | Long Short-Term Memory | M365 Dataverse | MLflow | Machine Learning | Microsoft Power | Microsoft Power Platform | Model Evaluation | Model Training | Natural Language | Natural Language Processing | Neural Network | Performance Monitoring | Power Automate | Power BI | Power Platform | Python | REST API | Recurrent Neural Network | Regression | Regularization | Root Cause Analysis | Root cause | SQL | T-SQL | U-SQL
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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