Data Engineer
2 days ago
Role & responsibilities
- Data Products Enhancement: Collaborate with cross-functional teams to agentify current Data Products, enabling intelligent and adaptive data flows that support evolving business needs.
- Agentification of ETL Pipelines: Transformation of existing ETL and data ingestion pipelines by embedding agentic architectures. This involves re-engineering traditional pipelines to harness autonomous agents for enhanced automation, scalability, and adaptability.
- Build and Deploy Domain specific AI Co-pilots and Agents for Data Engineering with integrated experience with Databricks.
- Build and Deploy Insights Agents: Design, implement, and operationalize insights agents capable of automatically analyzing datasets, uncovering trends, and proactively delivering actionable intelligence to stakeholders.
Preferred candidate profile
- Bachelors or Masters degree in Computer Science, Data Science, Engineering, or related field.
- 5-15 years of relevant experience, including at least 1 year building agentic workflows (Langchain, Langgraph, etc.).
- Preferred - Hands-on experience with Databricks and cloud data platforms.
- Proficiency in Python, PySpark, SQL, and modern data visualization tools.
Skills
- Advanced skills in Python and PySpark programming.
- Practical experience with Langchain, Langgraph, and building agentic workflows
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