This is a remote position.
Graph Data Engineer
Job Description:
We are seeking a skilled Graph Data Engineer to join our team for a complex Supplier Chain Project. As a Graph Data Engineer, you will be responsible for implementing and optimizing data solutions in the Graph DB space. You will work with Neo4j and GCP technologies to model and manage graph data, enabling advanced analytics and visualization for the Supplier Chain Project.
Key Required Skills:
- Proficiency in graph data modeling, including experience with graph data models (Labeled Property Graphs - LPG, Resource Description Framework - RDF) and the graph query language Cypher.
- Strong experience with Neo4j, including working with Neo4j Aura and optimizing complex queries for performance.
- Familiarity with Google Cloud Platform (GCP) stacks such as BigQuery, Google Cloud Storage (GCS), and Dataproc.
- Desirable: Experience in PySpark and SparkSQL for data processing and analysis.
- Ability to expose graph data to visualization tools like Neo Dash, Tableau, and Power BI.
The Expertise You Have:
- Bachelor’s or master’s degree in a technology-related field (e.g., Engineering, Computer Science, etc.).
- Demonstrable experience in designing and implementing data solutions in the Graph DB space.
- Hands-on experience with graph databases, particularly Neo4j (preferred) or any other.
- Experience in tuning graph databases for performance optimization.
- Profound understanding of graph data model paradigms (LPG, RDF) and graph query language (Cypher).
- Strong grasp of graph data modeling, schema development, and data design.
- Proficiency in relational databases and hands-on SQL experience.
Desirable (Optional) Skills:
- Knowledge of data ingestion technologies (ETL/ELT) and messaging/streaming technologies (GCP Data Fusion, Kinesis/Kafka).
- Experience with API development and in-memory technologies.
- Understanding of developing highly scalable distributed systems using open-source technologies.
- Prior experience in Supply Chain Data is desirable but not essential.
Skills Required
- 3 to 5 years of relevant experience
- At least 1 year of Neo4j experience
- Experience with Google Cloud Platform
- Graph data modeling experience with LPG and RDF
- Experience with Cypher graph query language
- Experience designing and implementing graph database solutions
- Neo4j Aura experience
- Graph database performance tuning and query optimization
- Graph schema development and data design
- Relational database and SQL experience
- Bachelor’s or master’s degree in technology, engineering, computer science, or a related field
- PySpark and SparkSQL experience
- Experience with Neo Dash, Tableau, or Power BI
- ETL/ELT and data ingestion technology experience
- GCP Data Fusion, Kinesis, or Kafka experience
- API development and in-memory technology experience
- Experience developing scalable distributed systems with open-source technologies
- Prior supply chain data experience
- Availability to join within 30 days
What We Do
Talpro India Private Limited is a technology-driven recruitment and staffing company serving businesses across industries. It specializes in sourcing, vetting, and hiring top-tier technology talent, while providing innovative, sustainable, and cost-effective recruitment solutions. The company develops comprehensive hiring strategies intended to meet immediate recruitment demands and support longer-term workforce needs, acting as a human-resources services provider in India for employers.
