Enterprise Data Solutions Specialist

3 days ago

Sydney, New South Wales, Australia beBeeData Full time $104,444 - $145,892
Job Opportunity

We are seeking a highly skilled Data Solutions Specialist with deep technical fluency and strong analytical skills to support data-driven projects leveraging Amazon Neptune, SQL, and RESTful APIs.

In this role, you will work closely with cross-functional teams including data engineers, product managers, architects, and business stakeholders to define and deliver connected data solutions that improve decision-making and customer experience.

Key Responsibilities
  • Define and refine technical and functional requirements for projects involving Amazon Neptune and graph-based data models
  • Collaborate with engineering teams to understand graph structures, Gremlin or SPARQL queries, and database design
  • Use SQL to analyze, profile, and validate relational and graph-integrated datasets
  • Translate business needs into API requirements and support the design and documentation of RESTful APIs
  • Facilitate workshops with cross-functional teams to define user stories, technical specifications, and data integration flows
  • Contribute to data mapping, data lineage, and system integration documentation
  • Support testing, validation, and defect triage related to data flows and API responses
Requirements
  • Must-Have:
    • 6+ years of experience as a Technical BA, Systems Analyst, or Data Analyst in enterprise environments
    • Background in financial services or highly regulated environments
    • Experience with AWS services (e.g., Lambda, S3, Glue) and data pipeline concepts
    • Hands-on experience working with Amazon Neptune or similar graph databases (Neo4j, etc.)
    • Understanding of Gremlin or SPARQL
    • Strong working knowledge of SQL for data analysis and validation & RESTful APIs
    • Familiarity with API documentation tools (Swagger/OpenAPI), and the ability to read and interpret JSON payloads
    • Proven ability to work closely with both technical teams (data engineers, devs) and non-technical stakeholders
    • Experience with Agile delivery and JIRA/Confluence

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