Hiring Data Engineer – Strong SSIS Experience Required (Singaporeans & PRs Only)
Summary
Designs and maintains ETL pipelines, data models, and enterprise data architectures using SSIS, Python, SQL, and cloud platforms like Azure Data Factory.
Dear Candidate,
Greetings!
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. Role:
Data Engineer 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. Thank you.
Data Engineer
position and are looking for professionals with strong experience in data engineering, ETL development, and modern data platforms. Role:
Data Engineer 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. Thank you.