Jobfoundry
Jobfoundry
EY

Data Engineer (ETL, Talend, Azure) - Senior Associate, AI & Data, Technology Consulting

EY
BusinessSG, 048583Full-time1 weeks ago
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About the role

AI summarised

Senior Associate Data Engineer at EY's AI & Data consulting practice in Asia-Pacific, responsible for designing, building, and optimizing scalable data pipelines using Talend and Microsoft Azure data services to support analytics and reporting for clients across multiple industries.

BusinessFull-timeGeneral

Key Responsibilities

  • Design, develop, and maintain ETL/ELT pipelines using Talend
  • Integrate data from multiple sources (databases, APIs, flat files, cloud sources)
  • Build and manage data workflows on Microsoft Azure: Azure Data Factory, Azure Data Lake Storage (ADLS), Azure SQL / Synapse Analytics
  • Ensure data quality, consistency, and reliability
  • Optimize data pipelines for performance, scalability, and cost
  • Collaborate with data analysts, BI teams, and stakeholders to understand data requirements
  • Implement data validation, monitoring, and error handling
  • Support production deployments and resolve data pipeline issues
  • Document data flows, transformations, and technical designs
  • Mentor junior team members and provide technical guidance

Requirements

  • Bachelor's degree in Computer Science, Information Systems, or related field
  • Minimally 4 years of hands-on experience in Data Engineering/ETL Development
  • Strong experience with ETL design patterns, data warehousing, and real-time/near real-time data processing
  • Strong hands-on experience with Talend (Data Integration/Big Data)
  • Solid experience with Microsoft Azure data services, including: Azure Data Factory, Azure Data Lake, Azure SQL/Synapse
  • Strong SQL skills (complex queries, performance tuning)
  • Experience with data warehousing concepts
  • Familiarity with batch and near-real-time data processing
  • Understanding of data governance, security, and access controls
  • Experience working in Agile/Scrum environments
  • Experience with Python or Spark (preferred)
  • Exposure to DevOps / CI-CD pipelines for data platforms (preferred)
  • Experience with Power BI or downstream analytics tools (preferred)
  • Knowledge of cloud cost optimization best practices (preferred)