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.
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 Required2+ Years
EligibilityOnly 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.
- 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.