Freelance Data Engineer (Nellore)

Freelance Data Engineer (Nellore)

25 Mar
|
Leading MNC
|
Nellore

25 Mar

Leading MNC

Nellore

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 (GraphRAG 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: Chance to work on complex, high-impact products alongside senior engineering leadership

📌 Freelance Data Engineer (Nellore)
🏢 Leading MNC
📍 Nellore

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