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Data Engineer

Data Engineer

OWOW

5 years

0 Lacs

noida uttar pradesh india

Posted:1 week ago| Platform:

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Skills Required

data ai marketing personalization design database analytics architecture mongodb redis neo4j etl governance ml tuning versioning testing monitoring airflow mlflow pytorch gcp docker kubernetes terraform github python sql engineering nosql optimization redshift technology migrate query cutting

Work Mode

On-site

Job Type

Contractual

Job Description

Data Engineer – AI-Powered Marketing Personalization Platform

Data Engineer

greenfield opportunity

Core Responsibilities

Data Architecture & Infrastructure (40%)

Design and implement multi-database systems (MongoDB, Redis, Milvus, Neo4j, BigQuery)
Build scalable real-time pipelines and ETL/ELT workflows
Implement data governance, quality, and high-throughput optimization

Vector & Graph Systems (25%)

Optimize Milvus collections for semantic search
Design Neo4j schemas for customer journeys and relationships
Develop hybrid search (vector + graph + text) with performance tuning

ML Data Infrastructure (20%)

Build data pipelines for LLM fine-tuning and GNN training
Manage data versioning, lineage, and A/B testing systems
Implement real-time feature computation for contextual models

Analytics & Monitoring (15%)

Create BigQuery schemas and real-time dashboards
Implement observability (Prometheus, Grafana) and anomaly detection
Optimize data costs across cloud environments

Tech Stack

Databases:

Processing:

ML Pipeline:

Cloud & Infra:

Languages:

Requirements

Must-Have

5+ years of data engineering experience in production systems
Advanced Python and SQL expertise
Experience with 3+ database types (SQL, NoSQL, Vector, Graph)
Proven ability to build high-scale data pipelines (>1M records/day)
Strong data modeling, validation, and optimization skills
Experience with cloud data warehouses (BigQuery, Redshift, or Snowflake)

Preferred

Experience with Milvus, Pinecone, or Weaviate
Graph databases (Neo4j, Neptune) and embedding-based search
ML/Feature store experience
Background in marketing technology or CDPs

Key Projects

Phase 1 – Foundation:

Phase 2 – Optimization:

Phase 3 – ML Infrastructure:

Why Join Us

Collaborate with ML engineers and data scientists on cutting-edge AI systems
High ownership and real product impact
Modern tools and a flexible environment
Clear growth path to Senior, Lead, or Principal roles
Shape the future of AI-driven marketing personalization

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