We use technical cookies and visit statistics: Yandex Metrica and Zorky's own de-identified visit log (cookie zk_aid). We never collect form contents, search text or full IP addresses, and never sell data. Opt out with the button below, or with Global Privacy Control or Do Not Track in your browser. More about cookies and statistics.
← All jobs
Data Engineer
5,000 SGD · period not specifiedSingapore, SGScore 65/1001w ago
Market insights
📊 Data Engineering: salaries and demand on the marketStack
Apply
Upload your CV — we will connect you with the employer directly through our pool.
Send your CV →Description
Job
Responsibilities
Design, develop, and maintain data pipelines and ETL/ELT workflows on cloud data platforms. Develop and optimize data models, data transformations, and workflows using Python and SQL. Support analytics and reporting teams by ensuring data is accurate, reliable, and accessible.
Work with stakeholders to understand data requirements and translate them into technical solutions. Monitor, troubleshoot, and improve data pipeline performance and data platform reliability. Prepare and maintain technical documentation.
Requirements
Degree in Computer Science, Information Technology, Data Engineering, or a related discipline. Up to 4 years of experience in Data Engineering. Hands-on experience with Azure Synapse.
Proficient in Python and SQL. Experience building and supporting ETL/ELT pipelines. Good communication and stakeholder engagement skills.
Preferred Skills Exposure to Azure cloud services. Experience with Databricks, Snowflake, or Power BI. Exposure to business requirements gathering and process documentation.
Employer contacts (email/phone/telegram) are hidden from the public preview — send your CV, and we will connect you directly.
Urgent question? Message @termdocs