Job Description
Senior Technical Talent Acquisition Specialist at Carecone
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Type: Permanent
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Job Summary
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We are seeking a highly skilled and experienced Senior Data Modeller to join our dynamic Data Engineering team. The ideal candidate will have over 15 years of experience in data modelling and will play a crucial role in designing and implementing data models that support our business objectives. This position requires a deep understanding of data architecture, data warehousing, and data governance.
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Responsibilities
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- Design and develop comprehensive data models that meet business requirements and enhance data quality.
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- Collaborate with stakeholders to gather and analyze data requirements, ensuring alignment with business goals.
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- Implement best practices for data modelling, including normalization, denormalization, and data lineage.
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- Work closely with data engineers and architects to ensure seamless integration of data models into the data pipeline.
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- Conduct data profiling and analysis to identify data quality issues and recommend solutions.
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- Document data models, data flows, and metadata to ensure clarity and maintainability.
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- Provide guidance and mentorship to junior data modelling team members.
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- Stay updated with industry trends and advancements in data modelling and data engineering.
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Mandatory Skills
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- Proven expertise in data modelling techniques and methodologies.
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- Strong experience with data warehousing concepts and tools.
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- Proficiency in SQL and experience with database management systems (e.g., Oracle, SQL Server, PostgreSQL).
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- Experience with data governance and data quality frameworks.
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- Ability to translate complex business requirements into effective data models.
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- Excellent analytical and problem solving skills.
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- Strong communication and interpersonal skills, with the ability to work collaboratively in a team setting.
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Preferred Skills
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- Experience with big data technologies (e.g., Hadoop, Spark).
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- Familiarity with cloud data platforms (e.g., AWS, Azure, Google Cloud).
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- Knowledge of data visualization tools (e.g., Tableau, Power BI).
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- Experience with ETL processes and tools.
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- Understanding of machine learning concepts and their application in data modelling.
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Qualifications
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- Bachelor's degree in Computer Science, Information Technology, or a related field.
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- Master's degree or relevant certifications in data management or data engineering is a plus.
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- 15+ years of experience in data modelling and data engineering roles.
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Interested people can share their resume at
[email protected]
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📌 Senior Data Modeler (Data Vault 2.0 & Databricks) (New South Wales)
🏢 CareCone Group
📍 New South Wales