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[LPS] Data Engineer

[LPS] Data Engineer

LenovoHong Kong, Hong Kong
22 days ago
Job description

Description and Requirements

The Job

  • Translate Data Pipeline requirements into data pipeline design, guide and direct the design by working closely with a range of stakeholders including the rest of the architecture team, external developers, data consumers, data providers, and internal / external business users.
  • Contribute to use case development, workshop to gather and validate business requirements.
  • Model and design the ETL pipeline data structure, storage, integration, integrity check and reconciliation. Standardize all exception control and ensure good traceability during trouble shooting.
  • Document and write technical specifications for the function and non-functional requirements of the solution.
  • Design data model / platform allowing managed growth of the data model to minimize risk and cost of change for a large-scale data platform.
  • Analyze new data sources with structured Data Quality Evaluation approach and work with stakeholders to understand the impact of integrating new data into existing pipelines and models.
  • Bridge the gap between business requirements and ETL logic by troubleshooting data discrepancies and implementing scalable solutions.

The Person

  • Bachelor's degree (or higher) in mathematics, statistics, computer science, engineering, or related field
  • At least 5+ year IT experiences with 2-year in data migration and / or data warehouse pipelines projects. At least 3-year experience with Oracle or SQL Server SQL development.
  • Strong technical understanding of data modelling, design and architecture principles and techniques across master data, transaction data and data warehouse
  • Experience with Stored Procedure (PL / SQL) and SQL DDL / DML
  • Power BI, Hadoop, Java Springboot, docker or OCP skill is advantage
  • Proficient in both spoken and written English and Chinese (Mandarin / Cantonese)
  • Proactive with good problem solving and multitasking skills and task management strategies
  • Strong technical understanding of data modelling, design and architecture principles and techniques across master data, transaction data and data warehouse

    • LPS Additional Locations :

  • Hong Kong
  • Hong Kong
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