AI & Data Engineer (Analytics-Focused)

Join Hanwha Life Insurance Indonesia as an AI & Data Engineer (Analytics-Focused) and transform raw data into strategic business assets. We're seeking a visionary professional to architect robust data pipelines, uncover actionable insights through advanced analytics, and drive innovation in our analytics-driven insurance solutions. In Jakarta Selatan, you'll be part of a dynamic team that leverages cutting-edge technologies to enhance our customers' experience and our operational efficiency.

As an AI & Data Engineer, you'll work daily with tools like Python, SQL, and cloud platforms such as AWS or Google Cloud. You'll design and implement scalable data architectures, develop machine learning models, and create interactive dashboards using tools like Tableau or Power BI. This role is perfect for a data enthusiast who thrives on turning complex data into clear, actionable strategies.

📋 Tanggung Jawab Pekerjaan

• Design and implement scalable data pipelines using Python, SQL, and cloud platforms like AWS or Google Cloud.
• Develop and deploy machine learning models to predict customer behavior and risk assessment.
• Create interactive dashboards and reports using tools like Tableau or Power BI to visualize data insights.
• Collaborate with cross-functional teams to understand business needs and translate them into data-driven solutions.
• Ensure data quality and integrity through robust data governance and validation processes.
• Optimize data storage and processing to enhance performance and reduce costs.
• Stay updated with the latest advancements in AI and data engineering to continuously improve our analytics capabilities.
• Mentor and guide junior team members to foster a culture of continuous learning and innovation.

🎓 Kualifikasi & Syarat

• Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
• 3-5 years of experience in data engineering, AI, or a similar role.
• Proficiency in Python, SQL, and at least one cloud platform (AWS, Google Cloud, or Azure).
• Experience with data visualization tools like Tableau or Power BI.
• Knowledge of machine learning frameworks such as TensorFlow or PyTorch.
• Strong understanding of data governance, quality, and security principles.
• Excellent communication and collaboration skills to work effectively with cross-functional teams.
• Ability to think strategically and translate business needs into data-driven solutions.

🛠️ Keahlian

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