Senior Data Engineer - Enterprise Data Warehouse
Bengaluru, Karnataka, India
INR 1500K-2500K (estimate) Senior-level Full Time
Tasks
- Build scalable data pipelines
- Collaborate with stakeholders to define data requirements
- Define and improve data governance and data quality processes
- Define and monitor data processing SLAs
- Define data architecture standards patterns and best practices
- Define data ownership and change management procedures
- Define enterprise data architecture strategies
- Design and optimize real time streaming pipelines
- Design enterprise data warehouse models
- Design scalable data storage and consumption models
- Develop Data mart models
- Develop data lake models
- Develop data vault models
- Develop enterprise data warehouse models
- Drive adoption of modern data warehouse technologies
- Establish data naming conventions and documentation standards
- Establish metadata management practices
- Evaluate relational and non relational data storage technologies
- Provide technical guidance on data design and implementation
Perks/Benefits
- N/A
Skills/Tech-stack
Agile delivery | Batch Processing | Cloud Platforms | Data Architecture | Data Governance | Data Lake | Data Lineage | Data Management | Data Marts | Data Modeling | Data Pipelines | Data Quality | Data Vault | Data Warehouse | Data integration | Data profiling | Digital Product | Digital Product Data Pipelines | Distributed Systems | Enterprise Data | Enterprise data warehouse | Flink | Java | Kafka | Master Data | Master Data Management | Metadata Management | NoSQL | RDBMS | Real Time | Real-time Processing | SQL | Time processing
Education
N/A
Roles
Architect | Data Architect | Data Engineer | Engineer | Senior Data Engineer
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