Data Engineer | specialist
Tasks
- Build Generative AI solutions to automate documentation and data migration workflows
- Build and maintain scalable data pipelines using Databricks and PySpark
- Collaborate to design secure scalable high performance data solutions
- Define and implement AI driven solutions for legacy modernization
- Define templates declarative frameworks and best practices for data pipelines
- Design intermediate metadata models for business rules and data flows
- Develop reusable accelerators aligned with enterprise data architecture standards
- Develop tools to extract analyze and interpret technical information from legacy artifacts
- Implement batch processing incremental ingestion and CDC for enterprise integrations
- Improve data governance lineage traceability and data quality
Perks/Benefits
- Career development
- Continuous learning
- Health and wellness benefits
- Hybrid work flexibility
- Remote-first work
- Up-skilling
Skills/Tech-stack
Artificial Intelligence | CDC | Change Data Capture | CrewAI | Data Capture | Data Governance | Data Lineage | Data Modeling | Data Quality | Data Warehouse | Data orchestration | Databricks | Function Calling | Generative AI | JSON | LLM | Langchain | Langgraph | Language Models | Large Language Models | Prompt engineering | PySpark | Python | RAG | SQL | Semantic Kernel | Spark SQL | Tool use | XML | YAML
Education
N/A
Roles
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