Senior Data Engineer (insurance)

Responsibilities: Produce on-demand reports for marketing fulfillment across various countries Develop and sustain Power BI datasets, dashboards, and regulate access for stakeholders with diverse roles in different countries Transfer data between sources, construct data workflows, oversee data management, governance, and maintain solutions like cloud data warehouses and lakes Establish database layers to underpin ad-hoc reports and insights Assist in constructing central data layers to empower d

Morgan McKinley - Hong Kong - Full time

Salary: Competitive

Responsibilities:
  • Produce on-demand reports for marketing fulfillment across various countries
  • Develop and sustain Power BI datasets, dashboards, and regulate access for stakeholders with diverse roles in different countries
  • Transfer data between sources, construct data workflows, oversee data management, governance, and maintain solutions like cloud data warehouses and lakes
  • Establish database layers to underpin ad-hoc reports and insights
  • Assist in constructing central data layers to empower data scientists and analysts
Requirements:
  • Bachelor's degree in IT, Computer Science, or a related field
  • Over 4 years of experience in the Insurance sector as a business analyst
  • Proficient in analytical, problem-solving, and organizational abilities
  • Profound comprehension of SQL data storage structures and optimization techniques (MySQL, Redshift, Dynamo DB).
  • Skilled in core programming language - Python
  • Familiar with data visualization tools like Power BI
  • Strong skills in data warehousing/lake principles, encompassing ETL processes, real-time streaming, and data modeling
  • Knowledge of AWS Glue, AWS Lambda, AWS S3
  • Proficiency in DBT, Airflow, DMS, and GIT
  • Sound expertise in constructing data pipelines
  • Competent in English communication, both written and verbal, with strong problem-solving and analytical skills
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