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Job Type   /   Job Level
Full-time   /   Others/Any
Company Location
Philippines

GECO Asia is Hiring: Data Engineer

We are looking for a Data Engineer to design, build, and maintain scalable data pipelines and infrastructure that support business reporting and analytics. This role is ideal for someone with a solid foundation in data engineering who is eager to grow, take ownership, and work closely with cross-functional teams.

What You’ll Do
  • Design, build, and maintain data pipelines and ETL processes
  • Transform raw data into clean, usable datasets for analytics and reporting
  • Monitor and support data workflows to ensure reliability and performance
  • Troubleshoot data issues and perform root cause analysis
  • Collaborate with business and technical teams to understand data needs
  • Support data quality, governance, and security practices
  • Assist in improving data processes, automation, and performance
  • Contribute to documentation and data workflow standards

Key Skills & Experience
  • 2–3 years of experience in data engineering, data analytics, or related field
  • Strong programming skills in Python (Java is a plus)
  • Hands-on experience with ETL processes and data pipeline development
  • Strong knowledge of SQL and experience with databases (NoSQL is a plus)
  • Experience with data processing tools (e.g., Spark, pandas)
  • Familiarity with cloud platforms (AWS, Azure, or GCP)
  • Exposure to data warehousing solutions (e.g., Snowflake, Redshift)
  • Basic understanding of big data tools (e.g., Hadoop, Spark)

What We’re Looking For
  • Strong problem-solving and analytical skills
  • Attention to detail in handling and validating data
  • Ability to manage tasks and meet deadlines
  • Good communication and collaboration skills
  • Willingness to learn and adapt to new tools and technologies

Why Join Us

This is a great opportunity to grow your data engineering career, gain hands-on experience with modern data tools, and work on real business-critical data solutions.

👉 Ready to grow your data engineering career? Apply now!

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