Data & AI Engineer (12 Months)

2 days ago

Singapore Zurich Insurance Full time

Data & AI Engineer (12 Months)Zurich Insurance is looking for a skilled Data & AI Engineer to join our Data & Digital team. This role focuses on enhancing and maintaining data platform architecture, operationalizing Generative AI solutions, and implementing automation solutions. Your Role Deliver solutions using advanced techniques in data modeling, ETL, data visualization, and more to derive insights from both structured and unstructured data. Maintain, review, and support the development of automation solutions. Integrate, consolidate, cleanse, and structure large data sets to facilitate business insights and reporting. Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure Cloud. Proactively understand business requirements and translate them into superior software implementations using an agile approach. Collaborate with data scientists and analysts to understand data needs and operationalize GenAI use cases and automation. Set up robust cloud infrastructure to enable reliable and scalable deployment of AI/ML solutions in production. Deploy models as APIs or microservices to integrate seamlessly with existing applications, applying MLOps and DevOps best practices. Utilize Databricks, Azure Data Factory, or similar technologies to create and maintain ETL operations, including data quality checks. Enhance the scalability, efficiency, and cost-effectiveness of data pipelines. Monitor and resolve data pipeline issues to ensure data consistency and availability, while working towards improving data quality. Define and implement data governance processes. Your Skills & Experience Approximately 8+ years of experience in a Data Engineer role with a degree in Computer Science, Data Science, Information Systems, or a related field. Advanced working knowledge of SQL and experience with relational databases. Experience in building and optimizing big data pipelines, architectures, and datasets. Experience in incremental loading, ETL jobs operationalization, Data Migration. Proven history of manipulating, processing, and extracting value from large datasets, including building processes for data transformation, data structures, metadata, dependency, and workload management. Working knowledge of Master Data and Reference Data Management. Working knowledge of Data Modeling. Experience in developing and integrating Power BI reports and dashboards. Experience in supporting and collaborating with cross-functional teams in a dynamic environment. Working knowledge of building user interfaces using web technologies. Experience with the following software/tools: Azure cloud services- Microservices, APIs, Function, Databricks, ADF, LogicApp, AI Foundry. Relational SQL and NoSQL databases. Data pipeline and workflow management tools: Control-M, Airflow. Basic understanding of stream-processing systems: Storm, Spark-Streaming. Object-oriented/ scripting languages: Python, pySpark, Java, Scala. Web technologies: Streamlit, React.js, HTML, etc. Basic knowledge of Data Science, LLMs, operationalization of AI solutions. Strong problem-solving abilities. Excellent verbal and written communication skills. Benefits Zurich offers a wide range of opportunities and a supportive environment for career growth. #J-18808-Ljbffr

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