Data Engineer
2 weeks ago
Job Title: Data Engineer
Location: Remote
Employment Type: Full-time
About the Role We are looking for a highly skilled Data Engineer with strong expertise in data ingestion, transformation and indexing pipelines for AI agents. The ideal candidate will have experience designing scalable data pipelines, implementing chunking strategies, and ensuring vector DB quality and optimal retrieval for AI agents.
Key Responsibilities
- ETL & Data Feeds: Manage, optimize, and monitor ETL workflows and data ingestion pipelines.
- Chunking Strategies for RAG: Design and implement effective document chunking methodologies to improve retrieval quality.
- Vector Database Management: Create and maintain metadata enrichment and indexing logic; monitor and fine-tune vector DB performance.
- Pipeline Scalability: Build and maintain scalable data pipelines using tools like Pandas, Spark, and Airflow.
- Logging & Analytics: Develop pipelines to track retrieval success/failure and feed insights back into model optimization.
- Data Privacy & Compliance: Ensure all pipelines adhere to data privacy regulations and organizational compliance standards.
- Troubleshooting: Identify and resolve data-related root causes impacting system responses.
Required Skills & Qualifications
- Strong proficiency in Pandas, Spark, Airflow, or similar data engineering tools.
- Proven expertise in Vector Databases (e.g., Pinecone, Weaviate, Milvus, FAISS).
- Hands-on experience with chunking strategies for RAG pipelines.
- Solid understanding of scalable ETL/data pipelines.
- Experience with metadata management and indexing strategies.
- Strong debugging, optimization, and performance tuning skills.
- Knowledge of data privacy laws (GDPR, HIPAA, etc.) and compliance practices.
Preferred Qualifications
- Experience with ETL and ML data pipelines.
- Familiarity with chunking and metadata strategies for RAG.
- Proficiency in Python and SQL for data transformation and querying.
Job Type: Full-time
Pay: ₹501, ₹1,244,400.38 per year
Benefits:
- Paid sick time
- Paid time off
- Provident Fund
- Work from home
Work Location: Remote
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