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AI Data Architect / Senior Data Engineer - DaAI

Infosys
Fresher
Bengaluru, India
  • Posted 21 days ago
  • Over 50 applicants have applied

Job Description

  • Strong production experience on modern data platforms such as Databricks, Snowflake, BigQuery, cloud data lakes, lakehouses, or equivalent enterprise data platforms.
  • Deep working knowledge of Python, SQL, PySpark, Apache Spark, and modern data pipeline development practices.
  • Hands-on experience with both structured and unstructured data ingestion at enterprise scale.
  • Strong experience in building pipelines for enterprise sources such as ERP, CRM, OSS/BSS, billing systems, finance systems, ServiceNow, Salesforce, SAP, Oracle, and legacy databases.
  • Working knowledge of vector databases such as Pinecone, Weaviate, pgvector, Milvus, Chroma, or equivalent technologies.
  • Hands-on knowledge of knowledge graphs, graph data modelling, graph querying, and enterprise graph implementation using Neo4j, Cypher, RDF, OWL, or equivalent technologies.
  • Design production-grade enterprise connectors and ETL/ELT pipelines for both structured enterprise systems such as ERP, CRM, OSS/BSS, billing, finance, HR, and unstructured sources such as emails, documents, logs, transcripts, and media files.
  • Build ingestion and transformation pipelines using Python, SQL, PySpark, Apache Spark, Airflow, dbt, Dagster, Flink, or equivalent technologies.
  • Create frameworks for data labelling, contextualization, harmonization, enrichment, and classification workflows to configure AI agents.
  • Architect integration with knowledge graphs and vector databases for hybrid search, semantic retrieval, contextual reasoning, and AI-ready data access.
  • Build and maintain Ontology/knowledge graph pipelines using Neo4j, RDF/OWL, Apache Jena, Stardog, GraphDB, or equivalent technologies.
  • Implement graph validation frameworks such as SHACL or ShEx to programmatically enforce data integrity rules over enterprise knowledge graphs.
  • Implement data quality automation using frameworks such as Great Expectations, AWS Glue DataBrew, dbt tests, custom validation pipelines, or equivalent tools.
  • Exposure to telecom, BFSI, manufacturing, or other complex enterprise domains.
  • Experience with OSS/BSS, ERP, CRM, billing, order management, product catalog, service inventory, or network inventory systems.
  • Experience with RDF triple stores such as Apache Jena, Stardog, GraphDB, Amazon Neptune, or equivalent technologies.
  • Experience with data catalogues, metadata management tools, lineage platforms, or governance platforms.

More Info

Job Type:
Permanent Job
Industry:
Other
Employment Type:
Full time

About Company

Job ID: 151836607

Last Updated: 10-08-2026 07:04:26 PM
Homejobs in Bengaluru / BangaloreAI Data Architect / Senior Data Engineer - DaAI

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AI Data Architect / Senior Data Engineer - DaAI

Infosys Limited
I
Bengaluru, India

Skills:

snowflake , Informatica - Data Explorer, Data Management - Data Integration, Data Architecture - Data Management, Microsoft Technologies- ALL, Data Management, Informatica, Microsoft Technologies, Data Architecture, Data on Cloud-DataStore, Databricks Machine Learning, Technology, AI-Data science

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