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This is a remote position. Graph Data Engineer Role: Graph Data Engineer Experience: 3 to 5 years Mandatory Skill: Graph Data Engineer, Neo4j (Minimum 1 year required), GCP, Graph data models (LPG, RDF) Notice: Maximum 30 Days Hiring Location: PAN India 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: Bachelors or masters 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. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.