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Data Analytics Architect

2 months ago

Melbourne, Victoria, Australia Ayan Infotech Full time
About the Role

Ayan Infotech is seeking a highly skilled Data Analytics Architect - Apache Spark Specialist to join our team on a long-term contract basis in Melbourne.

This is an excellent opportunity for a seasoned professional to leverage their expertise in data analytics, cloud computing, and big data to drive business growth and innovation.

Key Responsibilities
  • Data Architecture and Design
    • Design and implement data architectures that meet business needs and ensure data quality, security, and integrity.
    • Develop and maintain data models, schemas, and data migration processes to ensure consistency and quality across all data-related activities.
  • Big Data and Cloud Computing
    • Lead the design, development, and implementation of big data solutions using Apache Spark, AWS, and other cloud-based technologies.
    • Collaborate with cross-functional teams to identify future data needs and requirements, ensuring alignment with business goals.
  • Data Visualization and Reporting
    • Develop and maintain data visualization tools to present data insights effectively and support decision-making processes.
    • Design and implement reporting solutions to meet business needs and ensure data accuracy and reliability.
  • Team Leadership and Collaboration
    • Lead and mentor a team of data analysts and scientists to ensure they have the necessary skills and knowledge to meet business needs.
    • Collaborate with stakeholders to identify business requirements and develop solutions that meet those needs.
Requirements
  • Education and Experience
    • Master's degree in Computer Science, Information Systems, Information Technology, or a related field.
    • Minimum 5 years of experience in data analytics, big data, and cloud computing.
  • Technical Skills
    • Strong working knowledge of Apache Spark, AWS, and other cloud-based technologies.
    • Proficiency in PL/SQL programming and data visualization tools.
    • Experience with data migration and ETL processes.
  • Soft Skills
    • Critical thinking and problem-solving skills.
    • Strong written and verbal communication skills.
    • Ability to lead and mentor a team of data analysts and scientists.