Consultant - Data Engineer
Tasks
- Assess feasibility and delivery risks
- Automate testing and CI/CD
- Coordinate UAT and defect triage
- Define technical direction
- Design data product architecture
- Develop governed data products
- Drive DevOps adoption
- Implement data quality controls
- Improve engineering culture
- Lead data engineering delivery
- Mentor engineers
- Monitor and manage data operations
- Optimize data pipelines
- Translate business priorities into technical roadmaps
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Airflow | Alerting | Automated testing | CI Checks | CI/CD | Change Data Capture | CloudWatch | Clustering | Continuous Delivery | Data Capture | Data Contracts | Data Governance | Data Lineage | Data Quality | Data Reconciliation | Data Sharing | Data masking | Dimensional Modeling | ETL | Encryption | EventBridge | GitHub | Glue | IAM | Informatica PowerCenter | Lambda | Least Privilege | Logging | Metadata Driven | Metadata-driven design | Monitoring | Observability | Oracle Database | PII Classification | PL/SQL | Partitioning | Performance Tuning | Pull Request Standards | Pull request | Python | Query Tuning | Regression testing | Relational databases | S3 | SQL | Secrets Manager | Secure Data | Secure Data Sharing | Serverless | Snowflake | Snowpark | Step Functions | UAT | Workload management
Education
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