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    • Experience with financial market data.
    • Not manage a team that does data.
    • Negotiate contracts and manage commercial relationships with data providers.
    • Experience with data pipelines, data processing, and data engineering workflows.
    • Understanding of data processing concepts and basic data engineering principles…
    • Able to troubleshoot data issues and build scalable data solutions.
    • Clear growth paths toward analytics engineering, senior data engineering, or data platform…
    • Good understanding of developing data warehouses, data marts, etc.
    • Has more than 2 Years of experience in developing data lakes, and datamarts on the Databricks…
    • ETL Development: Build and refine sophisticated data flows using Informatica, ensuring seamless integration across enterprise-scale platforms.
    • Establish robust business data pipeline and data architecture design to on a regional level from Singapore as a Centre of Excellence.
    • 6+ years of experience in data engineering,big data technologies, or a similar role.
    • Work closely with data analysts, data scientists, and business stakeholders…
    • Experience working in large-scale data warehouse and big data environments.
    • Integrate data across multiple enterprise systems while ensuring data quality,…
    • Implement data quality checks and validation processes to ensure data integrity and reliability.
    • Collaborate with data scientists and analysts to understand…
    • To support 24/7 operations at a leading client site (SG4) in Singapore, with occasional exposure to Taiwan DC.
    • Support firmware upgrades & hardware tasks.
    • Strong SQL and data modelling and data analysis skills.
    • Good understanding of analytics and data warehouse implementations.
    • Good experience designing data solutions including data modeling.
    • Develop data transformation routines to clean, normalize, and aggregate data.
    • Implement and manage data integration processes to consolidate data from various systems while ensuring data accuracy, consistency, and reliability.
    • Good experience designing data solutions including data modeling.
    • Develop data transformation routines to clean, normalize, and aggregate data.
    • Familiarity with cloud data platforms such as:
    • Experience supporting or maintaining production data pipelines.
    • Experience: Fresher / Intern with Data Engineer*.

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