Neo4j
Python
Data Engineering
ETL
ELT
Dagster
Airflow
Graph Databases
Data Pipeline
📍 Location: Pune
Industry: IT
Job Type: Full Time
Experience: from 5 years
Infocusp Innovations is looking for a skilled Senior Data Engineer to lead the development of graph-based data platforms. You will design scalable architectures using Neo4j and build robust pipelines to transform unstructured data into actionable insights.
Roles & Responsibilities:
Architect and optimize enterprise-scale graph data models using Neo4j.
Design and implement end-to-end ETL/ELT pipelines for complex datasets.
Develop systems to process and extract insights from unstructured sources like PDFs and web content.
Orchestrate workflows using Dagster or Airflow with automated monitoring and error handling.
Collaborate with AI/ML and product teams to drive technical initiatives from design to deployment.
Requirements:
5+ years of experience in Data Engineering or Graph Data Engineering.
Proven production experience with Neo4j deployment, scaling, and maintenance.
Strong proficiency in Python and data engineering libraries.
Hands-on experience with Dagster/Airflow for workflow orchestration.
Deep understanding of data modeling, distributed processing, and quality observability.
Perks & Benefits:
Work with cutting-edge graph technologies and AI-integrated platforms.
Opportunity to own technical initiatives and architectural decisions.
Collaborative environment with Data, AI/ML, and Software Engineering teams.
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