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Freelance Data Engineer

Job in 110006, Delhi, Delhi, India
Listing for: Leading MNC
Full Time, Part Time, Contract position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    Data Engineer, AI Engineer
Job Description & How to Apply Below
We are looking for an experienced  Freelance Data Engineer  to join a high-performing engineering team working on scalable products for global enterprise clients.

This role is ideal for professionals currently working in a  100% REMOTE setup  and looking to take up a  long-term freelance or part-time engagement alongside their primary role  with competitive compensation and meaningful additional income.

Company Background  We are a product engineering firm partnering with top-tier global organizations across consulting, fintech, retail, and consumer tech. Our 750+ strong engineering team delivers high-impact solutions across Product and Data Engineering, with deep expertise in Agentic AI, GenAI, RPA, and Full-stack development.

Core Engineering (Must-Haves)
Strong proficiency in  Python  — clean, modular, production-grade code
Hands-on experience with  Docker  for containerization
Strong working knowledge of  Kubernetes  for deployment & orchestration
Infrastructure as Code using  Terraform  (no manual console management)
Data Stack & Pipeline Expertise
Expert-level experience with  Apache Airflow  and/or  Dagster
Strong proficiency in  dbt  for transformation workflows

Experience with  Cloud Platforms  (AWS / GCP / Azure)
Exposure to streaming and SaaS ingestion tools such as  Kafka ,  Fivetran , etc.
Must have shipped  at least two complex data pipelines  to production
AI-Ready Data Architecture
Experience processing  unstructured data  (text, documents, logs)
Hands-on work with LLM data preparation:
Chunking strategies
Embedding pipelines
Retrieval optimization
Modern Databases

Experience with  Vector Databases  (Pinecone, Milvus, pgvector, etc.)
Understanding of  Graph Databases  (Neo4j) and Graph-based retrieval (Graph

RAG concepts)
Strong understanding of:
Data Lakes vs Warehouses vs RDBMS
Normalization strategies
Indexing & search optimization

Engagement Details
Commitment:  ~35 hours per week with predictable workload and clear deliverables
Work Model:  100% remote engagement from our side
Compensation:  Monthly payouts with a transparent pay cycle
Tenure:  Long-term engagement for high performers; continuity and stability assured
Eligibility:  Open only to professionals  currently working in a full-time remote role  (validated during screening)
Growth:  Opportunity to work on complex, high-impact products alongside senior engineering leadership
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