Data Engineer (Australia)

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Requirements:

• Bachelor's in Computer Science, Data Science, Engineering or similar technical discipline (or commensurate work experience); Master's degree preferred.
• 1-3 years of Python programming (with Pandas experience).
• Experience with CSV, JSON, parquet, and other common formats.
• Data cleaning and structuring (ETL experience).
• Knowledge of API (REST and SOAP), HTTP protocols, API Security and best practices.
• Experience with SQL, Git, and Airflow.
• Strong written and oral communication skills.
• Excellent attention to detail.
• Ability to learn and adapt quickly.

Responsibilities:

• Collaborate with internal project managers, sales directors, account managers, and clients’ stakeholders to identify requirements and build external data-driven solutions.
• Perform data appends, extracts, and analyses to deliver curated datasets and insights to clients to help achieve their business objectives.
• Understand and keep current with external data landscapes such as consumer, business, and property data.
• Engage in projects involving entity detection, record linking, and data modelling projects.
• Design scalable code blocks using Demyst’s APIs/SDKs that can be leveraged across production projects.
• Govern releases, change management and maintenance of production solutions in close coordination with clients' IT teams.