Senior Data Engineer
Tasks
- Apply CI CD for data workloads
- Build scalable batch data pipelines
- Build scalable streaming data pipelines
- Develop medallion layer data sets
- Document pipelines data contracts and lineage
- Ensure data governance compliance
- Implement dimensional normalized and data vault models
- Implement monitoring, alerting, and observability
- Ingest data from ERP operational systems IoT files and APIs
- Manage access control and data privacy
- Manage schema evolution and backward compatibility
- Optimize pipelines for cost and performance
- Transform and model data for analytics ready datasets
- Use infrastructure as code
Perks/Benefits
Skills/Tech-stack
AWS Step Functions | Access Control | Amazon Kinesis | Apache Airflow | Apache Kafka | Azure Data | Azure Data Factory | Azure Synapse | CI/CD | Dagster | Data Factory | Data Governance | Data Lineage | Data Modeling | Data Privacy | Data Vault | Data Warehouse | Databricks | Delta Lake | Dimensional Modeling | Event Hubs | Google BigQuery | Iceberg | Infrastructure as Code | PII | PySpark | Python | SQL | Scala | Snowflake | Spark | Step Functions | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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