Chief Data Architect

7 days ago

Sydney, New South Wales, Australia beBeeData Full time $120,000 - $160,000
Transforming Data for Success

The role of a skilled Data Engineer is pivotal in driving business growth and informing strategic decision-making. This individual will be responsible for collecting, managing, and converting large volumes of structured and unstructured data into actionable insights.

Key Responsibilities:
  • Data Pipeline Design: Design and build scalable data pipelines that collect, process, and store large volumes of structured and unstructured data from various sources.
  • Collaboration and Communication: Collaborate with cross-functional teams to understand data requirements and ensure data solutions meet business needs.
  • Data Model Optimization: Implement and optimize data models, architecture, and warehousing solutions for efficient data retrieval and analysis.
  • Performance Monitoring: Monitor data systems' performance, identify bottlenecks, and implement solutions to optimize data processing and storage.
  • Security and Compliance: Maintain data security and privacy measures to safeguard sensitive information and comply with regulations.
Requirements and Qualifications:
  • Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred.
  • Programming Skills: Strong programming skills in languages such as Python, Java, Scala, or SQL for data manipulation and analysis.
  • Big Data Technologies: Proficiency in working with big data technologies like Hadoop, Spark, or similar distributed computing frameworks.
  • ETL Development: Experience with data modeling, warehousing, and ETL development using tools like Apache Airflow or similar.
  • Database Systems: Knowledge of database systems like MySQL, PostgreSQL, MongoDB, or Cassandra.

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