We are looking for a Data Infrastructure & Analytics Lead who will be responsible for designing, building, and maintaining scalable data pipelines, as well as developing and implementing advanced analytics models.This role requires a unique blend of skills in data engineering and data science to ensure the integrity, availability, and usability of data across the organization.It will be a one year contract to begin with and it will be renewable.Key Responsibilities:
Design, develop, and maintain robust and scalable ETL (Extract, Transform, Load) pipelines.
Optimize and manage databases, data warehouses, and big data platforms.
Implement data governance and security best practices.
Conduct exploratory data analysis to uncover trends and insights.
Develop and implement machine learning models and algorithms to solve business problems.
Communicate findings and recommendations to stakeholders through data visualizations and reports.
Work with cross-functional teams to understand business needs and translate them into data solutions.
Qualifications:
Bachelor\'s or Master\'s degree in Computer Science, Data Science, Engineering, or a related field.
3+ years of experience in data engineering, data science, or a related field including at least two years using Microsoft Data Lake ecosystem like Azure Data Lake Storage (ADLS), Azure Synapse Analytics, Azure Databricks & Azure Data Factory
Proven experience with data pipeline tools (e.g., Apache Spark, Airflow, Kafka).
Strong programming skills in languages such as Python.
Experience with SQL and NoSQL databases.
Familiarity with cloud platforms (AWS, Google Cloud, Azure) and big data technologies.
Skills:
Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
Strong understanding of data warehousing concepts and technologies.
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills.
Ability to work independently and manage multiple projects simultaneously.
We regret to inform you that only shortlisted candidates will be notified / contacted.For more information you can contact David Bolton on (Consultant\'s Email address) quoting Job Reference BH58620Personal data collected will be used for recruitment purposes only.EA Registration No.: R1768959 - Bolton David JamesiKas International (Asia) Pte LtdROC No.: 200914065E | EA License No.: 16S8086