Senior Software Engineer, Data Engineering
Tasks
- Build data lakehouse architectures
- Collaborate with data science and cross-functional teams
- Deploy data APIs and ML models
- Design data ingestion pipelines
- Develop ETL/ELT pipelines
- Develop data transformation pipelines
- Enable self-service analytics with BI tools
- Ensure scalability, performance, and observability
- Implement data quality, lineage, and governance
- Integrate structured and unstructured data sources
- Monitor and automate data workflows
- Orchestrate batch and real time workflows
- Prepare ML-ready datasets
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Airflow | Apache Spark | Apache Superset | Azure | Azure Cosmos | Azure Cosmos DB | Azure Data | Azure Data Factory | Azure Data Lake | Azure DevOps | Azure Event | Azure Event Hubs | Azure Service | Azure Service Bus | Azure Synapse | C# | CI/CD | Cosmos DB | DBT | Data Factory | Data Governance | Data Lake | Data Lineage | Data Modeling | Data Quality | Databricks | Delta Lake | Docker | Event Hubs | GitHub Actions | Java | Kafka | Kubernetes | MLOps | Microsoft SQL | Microsoft SQL Server | MongoDB | MySQL | Observability | PostgreSQL | Power BI | PyTorch | Python | SQL | SQL Server | Scala | Service Bus | Tableau | TensorFlow | Version control
Education
N/A
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