Purpose of the Job
The Senior Data Specialist will play a pivotal role in designing, developing, and maintaining the modern data platform – including data model, data pipelines, lakehouse, and AI-ready data foundations - to support business needs, organization’s growing digital and analytics ambitions. This role will be responsible for leveraging the data expertise to ensure the seamless flow and accessibility of mission-critical data. He/she will collaborate closely with other members of the Data and Analytics team as well as other application teams within IT to deliver accurate, reliable, accessible high-quality data and AI-driven insights.
Responsibilities
- Demonstrate a good understanding of the Master Data Management, modern Data Analytics Platforms, structures/unstructured data and analytics data models.
- Design, build and optimize cloud-native lakehouse architecture to support Master Data Hub, Data Analytics, BI and AI/ML workloads.
- Develop scalable robust data models, data pipelines, and data lakehouse architectures that align with the organization's data strategy, master data management and analytics requirements.
- Implement robust data quality, observability, and monitoring frameworks.
- Maintain data lineage for governance and impact analysis, explore AI solutions for automation and quality enhancement, and leverage AI tools for code generation, anomaly detection and data catalog improvements.
- Develop and maintain data visualization dashboards and reports.
- Demonstrate good understanding of business data domains, such as Beverage, Consumer, Motor industry, to design and implement domain-specific data and AI solutions.
- Collaborate with cross-functional technical and business teams to align data and AI initiatives with organizational objectives.
- Continuously explore and implement innovative data engineering, AI/ML technologies to enhance data accessibility quality and business value.
Requirements
- Bachelor's above degree in Computer Science, Data Science, AI, or a related fields.
- 3-5 years of experience as a Data Specialist, Data Engineer or similar role.
- Strong proficient in data modelling, data pipeline design & development, and cloud data architecture.
- Strong programming skills in SQL, Python, or other relevant data processing languages.
- Proficiency in databases (MS SQL or Oracle); experience with Microsoft Azure (Data Lake, Data Factory, Databricks, and Synapse Analytics) and AliCloud (DataWorks, MaxCompute, OSS, AnalyticDB, DTS, Hologres) data platforms.
- Familiarity with data visualization tools, such as Power BI, Tableau, or Qlik, and the ability to design and develop compelling data dashboards.
- Experience with PySpark, Spark SQL, vector databases; hands-on experience with LLM fine-tuning, RAG, Chat with Data solutions, Agentic AI workflows is highly desirable.
- Excellent analytical and problem-solving skills, with the ability to identify and address complex data-related challenges.
- Strong communication and collaboration skills to effectively work with cross-functional teams.
- Domain expertise in one or more of the specified business areas (Beverage, Consumer, Motor industry) is highly desirable.
- Self-starter with a passion for data.
- Ability to work in a fast-paced, dynamic environment.