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Key Responsibilities:
- Design and evolve scalable, AI-ready data platforms using Snowflake, Databricks, and AWS.
- Build robust batch and real-time data pipelines with PySpark, Kafka, and Spark Structured Streaming.
- Establish data governance, metadata frameworks, and security practices.
Requirements:
- 12+ years of experience in Data Engineering or Data Architecture.
- Strong hands-on experience with Snowflake, Databricks, PySpark, Kafka, Delta Lake, SQL, and Python.
- Practical knowledge of AI technologies including LangChain, LlamaIndex, and vector databases.
What We Offer:
- Remote-first work model with flexibility to work from locations where you perform best.
- Opportunity to collaborate with international teams across multiple regions and industries.
- Exposure to advanced AI, data engineering, and enterprise transformation projects.
Not specified
The company is a partner organization that specializes in data and AI solutions. It operates with a remote-first culture and emphasizes collaboration and continuous learning.