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Data (Python) Engineer

Role overview

Qualifications

  • 5+ years in Data Engineering
  • Expert-level Python and SQL skills
  • Proven track record in building scalable ETL pipelines
  • Hands-on experience with cloud platforms (Azure, AWS, or GCP)

Responsibilities

  • Develop and maintain data pipelines to extract, transform, and load large datasets efficiently using Python and SQL
  • Ensure efficient data processing and storage across sources using PostgreSQL, Oracle, and more
  • Tune SQL and Python code for performance, reliability, and maintainability
  • Collaborate cross-functionally to integrate and manage diverse data sources

Key facts

Hard skills

Other skills

  • Problem Solving
  • Collaboration

About the company

iScale Solutions logo

iScale Solutions

  • 501–1,000
We are constantly looking for the best talent in the market and we aim to offer exciting positions for everyone. Our Services 1) Team Augmentation Hire employees in the Philippines, without the difficulties of setting up a local business. We help you identify and recruit the right people. We take care of salaries, taxes, benefits, HR, office space and all other hassles. All you get is a simple, transparent bill. 2) Software Development We develop complex web, mobile and cloud native applications. Let our Agile experts take your development project to the next level. With thousand of project hours successfully delivered, our team has what it takes to make it happen. 3) BPO Our Business Process Outsourcing team handles back-office tasks for our customers. We specialize in non-voice, highly skilled processes with a strong price and quality advantage.

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Job description

Company Overview:

iScale Solutions specializes in providing top-tier software engineering talent to clients worldwide. We are currently seeking Senior Data Engineer (ELT) and you will work as part of our team in Vietnam, with a close bond with the APAC regional team. This role design and optimize scalable, high-performance ETL pipelines using advanced Python and SQL. This is a fully remote role offering flexibility in work hours and location. 

Responsibilities:

  • Develop and maintain data pipelines to extract, transform, and load large datasets efficiently using Python and SQL
  • Ensure efficient data processing and storage across sources using PostgreSQL, Oracle, and more.
  • Tune SQL and Python code for performance, reliability, and maintainability.
  • Implement robust error handling, logging, and monitoring.
  • Collaborate cross-functionally to integrate and manage diverse data sources.


Requirements

  • 5+ years in Data Engineering with expert-level Python and SQL skills.
  • Proven track record in building scalable ETL pipelines and working with large datasets.
  • Strong grasp of query optimization, database performance tuning, and data modeling.
  • Hands-on experience with cloud platforms (Azure, AWS, or GCP).
  • Self-starter with solid problem-solving skills

Nice to have:

  • Familiarity with GraphQL is a plus.
  • Experience with GCP Services such as BigQuery, GCP Storage, and Bigtable is a plus.


Benefits

  • Competitive salary and benefits package.
  • Opportunity to work on a cutting-edge fintech project with a leading client.
  • Collaborative and dynamic work environment.
  • Professional development opportunities.

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