Pemo
Pemo is a financial technology provider that specializes in automating corporate expenses through its corporate cards and all-in-one spend management software. It helps businesses in the MENA region eliminate traditional expense reports by offering features such as invoice payment automation, accounting synchronization, and real-time visibility of transactions. With solutions tailored for CFOs, accountants, and employees, Pemo enables companies to manage expenses efficiently and securely, making it easier for teams to focus on growing their business instead of administrative hassles.
FinTech • Expense Management • B2B • Software Solution • Small-Medium Businesses
Data Engineer
February 12
Pemo
Pemo is a financial technology provider that specializes in automating corporate expenses through its corporate cards and all-in-one spend management software. It helps businesses in the MENA region eliminate traditional expense reports by offering features such as invoice payment automation, accounting synchronization, and real-time visibility of transactions. With solutions tailored for CFOs, accountants, and employees, Pemo enables companies to manage expenses efficiently and securely, making it easier for teams to focus on growing their business instead of administrative hassles.
FinTech • Expense Management • B2B • Software Solution • Small-Medium Businesses
📋 Description
• Build the next generation of data infrastructure to revolutionize corporate spend management. • Empower sales and marketing through data automation and actionable insights. • Optimize and scale robust database and analytics solutions for seamless operations. • Solve the toughest challenges in data scalability, performance, and compliance. • Lead data governance and shape the foundation of Pemo's data strategy.
🎯 Requirements
• Experienced in designing and optimizing database systems, with expertise in PostgreSQL. • Proficient in advanced SQL, with at least 5 years of experience querying large and complex datasets. • Experience with dimensional data modeling & schema design in Data Warehouses • Knowledgeable about tools like Kafka, ElasticSearch, and BigQuery for data pipelines and analytics. • Proficient with data streaming platforms like mParticle, RudderStack, and Segment for automation and personalization. • Skilled in BI and visualization tools like Tableau, Looker, or similar platforms. • Strong in deploying Infrastructure-as-Code using tools like Terraform. • Familiar with the Google Cloud Platform environment and its services. • Excellent at communicating with diverse stakeholders, with strong English language skills. • Passionate about data-driven growth solutions in a fast-paced fintech environment.
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