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Sr. Data Engineer

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Onsite

Sr. Data Engineer

GECO Asia Pte. Ltd

Sr. Data Engineer

Skills

SQL QueriesData EngineeringPythonAWSPySparkAzure

1 month ago

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Important information


Contract type:

Freelance / Contract

Salary:

₱108,000 – ₱120,000 / year

Location:

Central Region, Malawi

Work mode:

Onsite

Published on:

7 September 2026

What they need


About the role

We are seeking an experienced Senior Data Engineer to design, develop, and maintain scalable data solutions and pipelines in an enterprise environment. The ideal candidate will have strong hands-on experience in Python, SQL, cloud platforms, data pipelines, and modern data technologies, with the ability to work with large and complex datasets.

Key responsibilities

  • Design, develop, and maintain scalable data pipelines and ETL/ELT processes
  • Develop data solutions using Python and SQL
  • Build and optimize data processing and transformation workflows
  • Work with cloud-based data platforms and services
  • Design and maintain data models, data warehouses, and data lakes
  • Support both batch and real-time data processing requirements
  • Implement data quality checks, monitoring, and error handling
  • Optimize data pipelines and queries for performance and reliability
  • Work closely with Data Architects, Analysts, Developers, and other stakeholders
  • Support production issues, troubleshooting, and continuous improvement

About you

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field
  • 8+ years of experience in Data Engineering or a related data role
  • Strong experience working with enterprise-scale data platforms and applications
  • Experience working in Agile and collaborative technical environments
  • Strong hands-on experience with Python
  • Strong SQL skills, including query optimization and data manipulation
  • Experience developing ETL/ELT data pipelines
  • Experience with data modelling, data warehousing, and data lakes
  • Hands-on experience with AWS or Azure
  • Experience with Apache Spark / PySpark or similar distributed data processing technologies

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