We are looking for an experienced Graph Database Engineer with strong expertise in enterprise graph data modelling, graph database technologies, Python development and large-scale data engineering.

The candidate will be responsible for designing scalable graph architectures, developing data integration pipelines, implementing semantic models and building enterprise data solutions that support analytics, AI/ML, semantic search and knowledge discovery initiatives.

Primary Skills – Must Have

- Enterprise Graph Data Modelling.
- Property Graphs (LPG), RDF, Ontologies and Semantic Modelling.
- Graph Databases – Neo4j, Amazon Neptune, Dydra or equivalent.
- Graph Query Languages – Cypher, SPARQL and Gremlin.
- Python Development.
- ETL/ELT Development.
- Apache Spark, Databricks, Airflow or similar platforms.
- Data Integration and Data Engineering.
- Relational, Analytical and Lakehouse Data Modelling.
- Distributed Data Platforms.
- DevOps, CI/CD and Infrastructure as Code.
- Enterprise Data Architecture.

Secondary Skills – Positive to Have

- Databricks Lakehouse Platform.
- Delta Lake and Unity Catalog.
- AWS services including S3, Neptune, Glue, Athena, IAM and Lambda.
- Graph Analytics and Graph Data Science.
- Graph-based Machine Learning.
- Semantic Search, Knowledge Graphs and RAG Solutions.
- Recommendation Systems.
- Data Visualisation tools such as Dash, Shiny, Grafana, Splunk and Databricks Visualisation.

Key Responsibilities





- Design and implement scalable enterprise graph data models and graph-based architectures.
- Build and maintain graph database platforms using Neo4j, Amazon Neptune, Dydra or equivalent technologies.
- Develop graph schemas, ontologies, semantic models and metadata frameworks aligned with business requirements.
- Design, develop and optimise ETL/ELT pipelines to ingest and integrate data from diverse enterprise sources.
- Translate complex business requirements into graph, relational, analytical and Lakehouse data solutions.
- Develop graph queries, APIs and data services using Cypher, SPARQL, Gremlin and Python.
- Collaborate with business stakeholders, data consumers, architects and source-system owners to define scalable data solutions.
- Build data products supporting analytics, AI/ML, semantic search, RAG and knowledge discovery initiatives.
- Ensure data quality, governance, security and performance across graph and analytical platforms.
- Lead architecture reviews, technical design discussions and adoption of engineering best practices.
- Implement CI/CD pipelines, Infrastructure as Code and DevOps practices for production deployments.
- Mentor engineering teams and drive technical excellence across graph and data engineering initiatives.

Pay: ₹600,000.00 - ₹2,200,000.00 per year

Application Question(s):

- By applying, you agree that your resume and personal details may be stored securely for up to 2 years for recruitment purposes.

Work Location: Hybrid remote in Bengaluru, Karnataka

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🏢 Ananta Services
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