Posted by employer 4 days ago
First seen on Joblaze 2 days ago
Last verified on the company career page 8 hours ago
Not disclosed in this posting: compensation, seniority, years of experience, work arrangement, visa sponsorship.
Joblaze summary
In this role, the Data Engineer focuses on building and maintaining data pipelines to support financial data processing and analytics. Proficiency in SQL, Python, and data warehousing technologies is essential, along with experience in handling large datasets. This position is well-suited for mid to senior-level professionals with a background in data engineering or related fields. Toss emphasizes a collaborative environment, where team members work together to enhance data-driven decision-making.
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