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Hiring Data Engineer – Strong SSIS Experience Required (Singaporeans & PRs Only)

Summary

Build and maintain ETL pipelines and data architectures using SSIS, Python, SQL, and cloud platforms like Azure Data Factory.

Data Engineer

We are currently hiring for a Data Engineer position and are looking for professionals with strong experience in data engineering, ETL development, and modern data platforms.

Experience Required

2+ Years

Eligibility

Only Singapore Citizens and Singapore Permanent Residents (PRs) are eligible to apply.

Key Requirements
  • Bachelor's degree in Computer Science, Data Science, Statistics, or a related field.
  • Minimum 2 years of experience in Data Engineering, Data Analytics, or related projects.
  • Strong experience in designing and managing enterprise data architectures, including batch and real-time data processing.
  • Hands‑on experience with SSIS package development, maintenance, and data pipeline implementation is mandatory.
  • Proficiency in Python, SQL, SAS, or R.
  • Experience designing and implementing data models, ETL processes, and data integration solutions.
  • Experience with at least one major data processing tool such as Informatica, Talend, Airflow, Kettle, or Dolphin.
  • Exposure to cloud‑based data platforms such as Azure Data Factory, Azure Purview, Databricks, Snowflake, Kafka, or similar technologies.
  • Experience with SQL/NoSQL databases and modern data storage technologies.
  • Excellent analytical, problem‑solving, and communication skills.
  • Ability to work independently and collaboratively in a fast‑paced environment.
Good to Have
  • Experience with AI technology stacks.
  • Exposure to BI tools such as Tableau or Power BI.
  • Relevant industry domain experience.

If you have strong SSIS expertise along with data engineering experience and are looking for your next opportunity, we'd love to connect with you.

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