Databricks - Principal Data Engineer
INR 2400K-4200K (estimate) Senior-level Full Time
Tasks
- Build reusable accelerators and templates
- Conduct customer workshops
- Conduct technical training and knowledge sharing
- Create data quality data governance matching survivorship and integration assets
- Create implementation roadmaps and effort estimates
- Define reusable design patterns
- Design Reltio MDM solutions
- Develop reference architectures and playbooks
- Ensure secure scalable high quality delivery
- Establish MDM COE standards and guidelines
- Guide project teams on Reltio best practices
- Integrate Reltio with enterprise systems
- Lead Reltio proof of concepts
- Mentor delivery teams
- Optimize performance
- Prepare solution approaches and architecture diagrams
- Provide architecture governance
- Support RFP/RFI responses
- Support technical design reviews
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Access Control | Apache Kafka | Attribute modeling | Azure | Azure Data | Azure Data Factory | Boomi | Cloud platform | Crosswalk modeling | Customer 360 | Data Factory | Data Governance | Data Import | Data Management | Data Modeling | Data Quality | Data Stewardship | Data Warehousing | Data import/export | Databricks | ELT | ETL | Entity Relationship Modeling | Entity relationship | Event Streaming | Google Cloud | Google Cloud Platform | Hierarchy Management | Identity resolution | Import/export | Informatica | Informatica PowerCenter | Integration Hub | JSON | Master Data | Master Data Management | Match and merge | MuleSoft | REST APIs | Reference Data | Reference Data Management | Relationship Modeling | Reltio Console | Reltio Integration | Reltio Integration Hub | Reltio MDM | Role-Based Access | Role-Based Access Control | SQL | Snowflake | Survivorship rules | Talend | Workflow Configuration | XML
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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