DataOps Engineer
USD 62K-141K Mid-level Full Time
Tasks
- Automate data workflows
- Build resilient data pipelines
- Design scalable data services
- Enable secure and highly available analytics data
- Enhance data quality
- Govern and catalog data assets
- Implement ETL or ELT pipelines
- Perform data validation and quality checks
- Set up CI CD automated deployments
- Streamline data pipelines
Perks/Benefits
Skills/Tech-stack
AWS | AWS Glue | AWS Lambda | AWS Managed Workflows for Apache Airflow | AWS S3 | AWS Step Functions | Airflow | Amazon EMR | Amazon Kinesis | Amazon RDS | Amazon Redshift | Apache Airflow | Automation | Azure Blob | Azure Blob Storage | Azure Data | Azure Data Factory | Azure Functions | Azure HDInsight | Azure Logic | Azure Logic Apps | Azure SQL | Azure SQL Database | Azure Stream | Azure Stream Analytics | Azure Synapse | Azure Synapse Analytics | Bash | Blob Storage | CI/CD | CloudFormation | Dagster | Data Factory | Data Lineage | Data Pipelines | Data Quality | Data Validation | Docker | ELT | ETL | Event Streaming | Infrastructure as Code | Kubernetes | Logic Apps | MSSQL | Metadata Management | NoSQL | Observability | Pipeline monitoring | Prefect | Python | SQL | SQL Database | Step Functions | Stream Analytics | Synapse Analytics | Terraform | Version control | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | High School Diploma
Roles
Regions
Countries
States
Cities
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