Data Engineer - Python ETL Pipelines & API Integration

PowTech Solution

Kuala Lumpur

On-site

MYR 120,000 - 170,000

Full time

2 days ago
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Job summary

PowTech Solution is seeking a Data Engineer with strong Python fundamentals and hands‑on ETL experience. You will design, develop, and maintain ETL connectors and data pipelines using our Python‑based framework, while ensuring reliable, scalable data flows for enterprise B2B systems.

You will work with APIs, cloud data warehouses (Snowflake/BigQuery/Redshift), and AI coding tools to prototype pipelines fast, maintaining focus on data quality and security as part of an AU/NZ based team.

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • 3–7 years of hands‑on data engineering or software development experience.
  • Strong Python skills and solid experience with ETL/ELT and pipeline design.

Responsibilities

  • Design, develop, and maintain ETL pipelines and connectors to SaaS applications.
  • Build data pipeline logic with Python and expose to cloud data warehouses.
  • Leverage AI coding tools to prototype pipelines while maintaining quality.
  • Integrate with APIs, handle data exchange and secure communications.
  • Manipulate data using Python dataframes and third‑party packages.
  • Conduct testing and QoS checks to ensure reliability and scalability.
  • Understand enterprise B2B data systems to build effective solutions.

Skills

Python
ETL/ELT
API integration
Data pipelines
Cloud data warehousing

Education

Bachelor's degree in Computer Science or related

Tools

Snowflake
BigQuery
Redshift
GitHub Copilot

Job description

PowTech Solution is seeking a Data Engineer with strong Python fundamentals and hands‑on ETL experience. You will design, develop, and maintain ETL connectors and data pipelines using our Python‑based framework, while ensuring reliable, scalable data flows for enterprise B2B systems.

You will work with APIs, cloud data warehouses (Snowflake/BigQuery/Redshift), and AI coding tools to prototype pipelines fast, maintaining focus on data quality and security as part of an AU/NZ based team.

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