
Highly Skilled Data Professional Wanted
24 hours ago
Job Title: Data Engineer
Are you a skilled data engineer with a passion for building scalable data pipelines and enabling LLM-powered workflows?
What Youll Be Working On:
- Design and implement scalable batch and streaming data pipelines using PySpark and Apache Spark.
- Build intelligent applications using LLMs, RAG, embeddings, and frameworks like LangChain or CrewAI.
- Work with vector databases (e.g., FAISS, Pinecone, ChromaDB) to enable retrieval-augmented generation (RAG) use cases.
- Create actionable insights through dashboards using Power BI, Tableau, or Looker.
- Develop and maintain cloud-based data lakes and warehouse architectures (e.g., on Azure, AWS, or GCP).
- Collaborate with AI scientists, data analysts, and product teams to deliver business-impacting solutions.
Required Skills and Qualifications:
- 25 years of hands-on experience in data engineering, AI, or analytics.
- Strong skills in SQL, Databricks, PySpark, and Apache Spark.
- Practical experience with vector databases like FAISS, Pinecone, or ChromaDB.
- Exposure to AI orchestration tools/frameworks : LangChain, CrewAI, or Haystack.
- Experience working on one or more cloud platforms : Azure, AWS, or GCP.
Bonus Points:
- MLflow, CI/CD pipelines, and ML/LLM lifecycle management.
- Familiarity with Responsible AI practices and LLM orchestration workflows.
Ideal Background:
An educational or professional background in Data Engineering, AI/ML, Business Analytics, or Consulting is preferred. A problem-solving mindset with a strong drive to learn and build in a fast-paced, client-facing environment is essential.
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