Data Engineer
- Axcend Automation
- 5 - 8 years
- Bengaluru
- 2 months ago
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Job Description
JD:
Role: Data Engineer
About the Role:
We are looking for a Data Engineer with strong expertise in Knowledge Graphs, with GraphDB (RDF/OWL/SPARQL) as the preferred primary skillset, and Neo4j/Cypher as an alternative.
You will design and operate graphcentric data architectures and integrate them with Snowflake to deliver highquality, governed, and semantically rich data products across the organization.
Key Responsibilities
Knowledge Graph Engineering (Primary Focus)
- Design, build, and maintain RDF/OWLbased knowledge graphs using GraphDB or similar triple stores.
- Develop ontologies, vocabularies, and semantic schemas to accurately represent business domains.
- Write and optimize SPARQL queries and implement reasoning/inference rules as needed.
- Manage ingestion pipelines to populate and update RDF graphs, ensuring consistency and performance.
- Support property graph modeling as secondary expertise using Neo4j/Cypher where applicable.
Snowflake Data Product Engineering
- Build and maintain curated Snowflake data products: domainaligned tables, views, and semantic layers.
- Implement ELT with Snowpipe, Streams, and Tasks, plus performance optimization and governance controls.
- Ensure strong documentation, data quality, lineage, and versioning for all Snowflake datasets.
Pipelines, Automation & Reliability
- Develop and manage EL/ETL/ELT pipelines that feed both the knowledge graph and Snowflake.
- Use orchestration tools such as Airflow, Prefect, or Azure Data Factory for automation.
- Implement CI/CD for data workflows, with monitoring, alerting, and highreliability operational practices.
Governance & Access Control
- Apply RBAC, masking, and row/columnlevel security in both Snowflake and graph systems.
- Maintain lineage, metadata, and standardized documentation across all data assets.
- Define schema standards, semantic conventions, and data contracts with producers and consumers.
CrossFunctional Collaboration
- Partner with domain experts, analysts, engineers, and ML teams to understand semantics and translate concepts into graph structures and data products.
- Advocate for graphdriven design and semantic consistency across domains.
Minimum Qualifications
- 46 years of handson data engineering experience.
- Strong, practical experience with GraphDB or any RDF/OWL/SPARQLbased knowledge graph stack.
- Experience with Neo4j/Cypher as secondary graph expertise.
- Strong Snowflake ELT skills, including Snowpipe/Streams/Tasks and warehouse optimization.
- Proficiency in SQL and Python.
- Experience with structured and semistructured data (JSON, Parquet, Avro).
- Cloud object storage (S3/ADLS/GCS) experience.
- Handson experience with Airflow/Prefect/ADF and Gitbased workflows.
Preferred Qualifications
- Experience designing ontologies or complex semantic data models.
- Familiarity with dbt or other ELT frameworks.
- Exposure to Spark/Databricks.
- Experience with lineage/metadata tools (OpenLineage, Purview, Collibra).
- Experience building REST or GraphQL APIs for data access.
Please drop CVs at su********t@ax***d.com (Only Immediate Joiners and open for F2F (2nd Round) can send
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data EngineerEmployement Type: Full timeContact Details:
Company: Axcend AutomationLocation(s): Bengaluru
Keyskills: Knowledge Graphs Neo4J Graph Databases Graphdbs Data Engineering cypher Snowflake ETL Elt
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