Data Migration Engineer (SQL/Hive) – 6 Mo Contract

PVH (Tommy Hilfiger/Calvin Klein)

Singapore

On-site

SGD 84,000 - 144,000

Full time

14 days+

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Job summary

PVH (Tommy Hilfiger/Calvin Klein) in Singapore is seeking a contract Data Engineer for a 6-month data migration and reporting transformation project. You will analyse existing data structures, map source-to-target, and develop automated data processing scripts to support migration to new data marts.

The role requires strong SQL, SAS or Python scripting, experience with Hue, Hive, Impala, Oozie, and a solid background in data warehousing, ETL, and data governance.

Qualifications

  • Strong SQL, SAS or Python scripting and data manipulation skills.
  • Hands-on experience with Hue, Hive, Impala, Oozie.
  • Experience in data warehousing, ETL development, data migration projects.
  • Experience working with large and complex datasets.
  • Strong understanding of relational databases and data modelling concepts.

Responsibilities

  • Data Analysis & Discovery: Analyse existing tables, reports, datasets, and data processing workflows from legacy sources.
  • Source Mapping & Migration: Perform source-to-target mapping and document field mappings and business logic.
  • Development & Automation: Develop, enhance, and maintain SQL scripts and data processing pipelines; configure workflow scheduling.
  • Data Validation & Testing: Validate data accuracy and reconciliation between current sources and new data marts; support UAT.
  • Documentation & Governance: Produce mapping, data lineage, metadata docs, data dictionaries and runbooks.

Skills

SQL scripting
SAS scripting
Python scripting

Education

Degree in Computer Science, Information Systems, Engineering, Mathematics, Statistics

Tools

Hue
Hive
Impala
Oozie

Job description

PVH (Tommy Hilfiger/Calvin Klein) in Singapore is seeking a contract Data Engineer for a 6-month data migration and reporting transformation project. You will analyse existing data structures, map source-to-target, and develop automated data processing scripts to support migration to new data marts.

The role requires strong SQL, SAS or Python scripting, experience with Hue, Hive, Impala, Oozie, and a solid background in data warehousing, ETL, and data governance.

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