Job Title: Data & AI Architect/Engineer
Location: Singapore
Experience: 8 to 10 Yrs.
About Us:
Celebal Technologies is a leading Solution Service company that provide Services the field of Data Science, Big Data, Enterprise Cloud & Automation. We are at the forefront of leveraging cutting edge technologies to drive innovation and enhance our business processes. As part of our commitment to staying ahead in the industry, we are seeking a talented and experienced Data & AI Engineer with strong Azure cloud competencies to join our dynamic team.
Job Responsibilities:
Data Architecture and Modelling:
▪ Design and implement scalable, high-performance data models for both structured and unstructured data.
▪ Develop and maintain data architecture blueprints, ensuring alignment with business goals and scalability requirements.
Cloud Computing and Azure Expertise:
▪ Possess in-depth knowledge and hands-on experience with Microsoft Azure cloud services.
▪ Implement and manage data solutions in Azure, utilizing services such as Azure Data Factory, Azure Databricks, Azure SQL Data Warehouse, and others.
AI and Machine Learning:
▪ Design, develop, and deploy machine learning models for predictive analytics and data driven decision-making.
▪ Collaborate with data scientists to integrate AI/ML models into production environments.
Big Data Processing:
▪ Implement and optimize big data processing solutions using technologies such as Apache Spark, Hadoop, and others.
▪ Ensure efficient data ingestion, processing, and storage of large volumes of data.
Data Integration and ETL:
▪ Develop and maintain Extract, Transform, Load (ETL) processes to integrate data from various sources into a unified and consistent format.
▪ Implement data integration pipelines for seamless flow and transformation of data.
Performance Optimization and Monitoring:
▪ Identify and resolve performance bottlenecks in data processing and storage systems.
▪ Implement monitoring solutions to ensure the health and performance of data and AI/ML systems.
Requirements:
▪ 8-10 years of relevant experience in data engineering, AI/ML, and big data technologies.
▪ Strong proficiency in Microsoft Azure cloud services and certifications (e.g., Azure Data Engineer, Azure AI Engineer) are highly desirable.
▪ Proven experience in designing and implementing scalable data architectures.
▪ Expertise in AI/ML model development, deployment, and integration.
▪ Solid understanding of big data processing frameworks and tools.
▪ Proficient in programming languages such as Python, Scala, or Java.
▪ Excellent problem-solving and analytical skills.
▪ Strong communication and collaboration skills, with the ability to work effectively in a team
