DataOps/Cloud Data Engineer - Senior
Tasks
- Build ETL pipelines
- Collaborate using Agile Scrum and Waterfall
- Design data pipelines
- Develop data transformations
- Develop with Databricks and Delta Lake
- Implement data models for data warehouses and lakehouses
- Manage data ingestion from files and databases
- Manage incidents and changes
- Orchestrate data processing workflows
- Perform data reporting and visualization
- Support full SDLC for data engineering
- Troubleshoot data pipeline issues
Perks/Benefits
Skills/Tech-stack
AWS Glue | AWS Lambda | AWS Redshift | AWS Step Functions | Agile | Amazon S3 | Amazon Web Services | Azure | Azure Data | Azure Data Factory | CSV | Change Management | Cloud Storage | Data Factory | Data Lakehouse | Data Warehousing | Databricks | Delta Lake | Dimensional Modeling | ETL | Incident Management | Informatica IDMC | JSON | Linux Shell | Pandas | Powershell | PySpark | Python | Relational modeling | SDLC | SQL | Scrum | Step Functions | Waterfall | Web Services | XLSX
Education
N/A
Roles
Cloud Data Engineer | Cloud) | Data Engineer | DataOps Engineer | Engineer
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