Senior Data Engineer
Tasks
- Apply data governance and security practices
- Build data cleansing deduplication and transformation workflows
- Define data requirements and data models with stakeholders
- Design batch and streaming data pipelines
- Design data models for reporting and analytics
- Develop Power BI dashboards and visualizations
- Develop and deploy data products on cloud platform
- Diagnose and resolve pipeline and integration issues
- Document data pipelines and operational procedures
- Implement data security and quality controls
- Improve engineering practices automation CI CD testing and observability
- Monitor pipeline performance and data quality
- Operate and maintain data platform
- Orchestrate data workflows
- Perform platform upgrade and release testing
- Provide secure data access support
Perks/Benefits
Skills/Tech-stack
AWS | Access Management | Amazon EMR | Amazon Redshift | Amazon S3 | Apache Flink | Apache Kafka | Apache Spark | Automated testing | Azure Data | Azure Data Factory | CI/CD | Data Factory | Data Modeling | Data Quality | Data Security | Data Warehousing | Data integration | Databricks | DevOps | ELT | ETL | Identity and Access Management | Identity and access | Infrastructure as Code | Monitoring | Observability | Power BI | Power BI Service | Python | Release Management | SQL | Snowflake | Terraform | “as-code”
Education
Roles
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