Senior Data Engineer Consultant
Tasks
- Apply DataOps practices for automation reliability versioning
- Build data pipelines for ingestion processing and delivery
- Build distributed data processing with Spark
- Co-design data engineering solutions
- Create data integration and loading patterns
- Design and implement cloud-based data solutions
- Design scalable data architecture
- Develop data models and optimize databases
- Enable CI CD for data services
- Implement batch, streaming, and real-time data integration
- Lead data engineering client engagements
- Process event data with Kafka
- Supervise and mentor junior consultants
Perks/Benefits
- Flexible mobility options
- Flexible working arrangements
- International project exposure
- Knowledge sharing
- Training and development opportunities
Skills/Tech-stack
AWS | Apache Kafka | Apache Spark | Azure | Batch Processing | CI/CD | Cloud Computing | Data Architecture | Data Engineering | Data Modeling | Data Pipelines | Data Processing | Data integration | DataOps | Database Design | Databricks | GCP | Graph Databases | NoSQL | Real Time | Real-time Data | Real-time Data Processing | Relational databases | Snowflake | Streaming Analytics | Time Series | Time-series databases
Education
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