Senior Data Engineer

4 years

0 Lacs

Posted:3 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Contractual

Job Description

Key ResponsibilitiesGraph Database Architecture
  • Design comprehensive entity-relationship diagrams for technology components (Software, Hardware, Users, Departments, Licenses)
  • Develop relationship taxonomy with 50+ relationship types (DEPENDS_ON, USES, MANAGES, LICENSES)
  • Implement graph schema standards compliant with industry best practices
  • Create data lineage mapping from source systems to graph nodes
  • Build temporal relationship models for historical analysis
Data Governance & Quality
  • Establish schema versioning and evolution strategies
  • Implement data quality rules for graph relationships
  • Design master data management frameworks for core entities
  • Create metadata management and documentation standards
  • Develop graph database optimization guidelines
ETL Pipeline Development
  • Architect source system integrations (ServiceNow, SAP, Discovery engines)
  • Build data transformation pipelines using Alteryx and Python
  • Design real-time and batch processing workflows
  • Implement robust error handling and data quality frameworks
  • Create scalable solutions for 10M+ nodes and 100M+ relationships
Data Integration
  • Process eBPF discovery data and DNS analysis results
  • Integrate ServiceNow CMDB extractions
  • Handle binary fingerprinting results
  • Transform raw data into clean, structured datasets for Monte Carlo simulations and AI recommendations
Required Qualifications
  • 4-5 years of data engineering experience

  • Strong expertise in

    graph databases

    (Neo4j preferred)
  • Proficiency in

    ETL tools

    (Alteryx, Python)
  • Experience with

    enterprise data integration

    (ServiceNow, SAP)
  • Knowledge of

    data modeling

    and schema design
  • Experience with

    data quality

    and governance frameworks
  • Proficiency in

    SQL

    and

    Python

  • Understanding of

    real-time data processing

Preferred Qualifications
  • Experience with

    network discovery tools

    and eBPF
  • Knowledge of

    CMDB

    systems and IT asset management
  • Experience with

    data visualization platforms

  • Familiarity with

    temporal data modeling

  • Background in

    enterprise architecture

    or IT operations
  • Experience with

    cloud platforms

    (AWS, Azure, GCP)

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