Senior Data Engineer
13 hours ago
Sapaad, a leader in unified commerce platforms, delivers world-class software solutions for the food and beverage industry. Our flagship product has achieved remarkable success over the past decade, empowering thousands of F&B businesses across 40+ countries.
Driven by a passionate team of developers, designers, and product experts, Sapaad is constantly evolving, introducing innovative features that set the benchmark for F&B tech.
We are seeking a Senior Data Engineer to design and optimize our distributed data pipelines, infrastructure, and tools that power insights across our business.
As part of our growing data team, you will collaborate closely with developers, architects, analysts, and data scientists to ensure smooth, secure, and efficient data delivery across multiple products and projects.
You will have a platform to explore, apply, and grow your skills in modern data engineering, opportunity to work on high-impact projects shaping the future of the F&B tech industry, and collaboration with global teams across product, engineering, and data functions.
Key responsibilities include designing, building, and maintaining scalable data pipelines and infrastructure, assembling and managing large, complex datasets from diverse sources, automating and optimizing data processes for greater efficiency and scalability, and developing and managing ETL workflows using SQL and cloud-based big data tools.
- Design, build, and maintain scalable data pipelines and infrastructure.
- Assemble and manage large, complex datasets from diverse sources.
- Automate and optimize data processes for greater efficiency and scalability.
- Develop and manage ETL workflows using SQL and cloud-based big data tools.
- Build analytics tools to deliver actionable insights into business performance.
- Collaborate with executives, product managers, architects, and analysts to meet evolving data needs.
- Ensure data systems are secure, reliable, and high-performing.
- Support data scientists and analysts by creating data tools and environments for advanced analytics.
Requirements include 2–7 years of hands-on experience as a Data Engineer, a graduate degree in Computer Science, IT, Statistics, or a related quantitative field, advanced knowledge of SQL and relational databases, proven experience building and optimizing big data pipelines, architectures, and data sets, strong analytical skills, especially in handling unstructured datasets, working knowledge of cloud-based big data services, familiarity with big data tools, experience with ETL tools, knowledge of stream-processing systems, proficiency in scripting/programming languages, and excellent communication skills.
Become Part of Our Global Team
We offer a collaborative work environment, opportunities for growth and development, and a chance to be part of a pioneering company in the F&B tech industry.
About You
You must be a motivated individual with a passion for data engineering and problem-solving.
What We Offer
We provide a competitive compensation package, comprehensive benefits, and a supportive work environment.
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