We are looking for a highly skilled Lead Data Engineer who approaches data engineering as a software engineering discipline.
This role is not focused on traditional ETL/ELT development, report-driven pipelines, or SQL-heavy data movement activities. We are seeking engineers who design and build scalable, reliable, and maintainable data systems using modern software engineering principles and distributed computing technologies.
You will be responsible for building large-scale data processing applications, platform capabilities, and reusable infrastructure that enable analytical and operational workloads across the organization. Success in this role requires a strong engineering mindset, deep understanding of distributed systems, and the ability to develop production-grade solutions that scale.
We are particularly interested in engineers who have experience building platforms that support forecasting, planning, optimization, or other analytical workloads in supply chain, retail, logistics, manufacturing, or related domains.
We are looking for engineers who are passionate about building scalable, high-quality data platforms. The ideal candidate understands the technical challenges of operating large-scale distributed systems, including data processing, lakehouse architectures, schema evolution, performance optimization, reliability engineering, and operational excellence.
We are looking for a highly skilled Lead Data Engineer who approaches data engineering as a software engineering discipline.
This role is not focused on traditional ETL/ELT development, report-driven pipelines, or SQL-heavy data movement activities. We are seeking engineers who design and build scalable, reliable, and maintainable data systems using modern software engineering principles and distributed computing technologies.
You will be responsible for building large-scale data processing applications, platform capabilities, and reusable infrastructure that enable analytical and operational workloads across the organization. Success in this role requires a strong engineering mindset, deep understanding of distributed systems, and the ability to develop production-grade solutions that scale.
We are particularly interested in engineers who have experience building platforms that support forecasting, planning, optimization, or other analytical workloads in supply chain, retail, logistics, manufacturing, or related domains.
We are looking for engineers who are passionate about building scalable, high-quality data platforms. The ideal candidate understands the technical challenges of operating large-scale distributed systems, including data processing, lakehouse architectures, schema evolution, performance optimization, reliability engineering, and operational excellence.
We are looking for a highly skilled Lead Data Engineer who approaches data engineering as a software engineering discipline.
This role is not focused on traditional ETL/ELT development, report-driven pipelines, or SQL-heavy data movement activities. We are seeking engineers who design and build scalable, reliable, and maintainable data systems using modern software engineering principles and distributed computing technologies.
You will be responsible for building large-scale data processing applications, platform capabilities, and reusable infrastructure that enable analytical and operational workloads across the organization. Success in this role requires a strong engineering mindset, deep understanding of distributed systems, and the ability to develop production-grade solutions that scale.
We are particularly interested in engineers who have experience building platforms that support forecasting, planning, optimization, or other analytical workloads in supply chain, retail, logistics, manufacturing, or related domains.
We are looking for engineers who are passionate about building scalable, high-quality data platforms. The ideal candidate understands the technical challenges of operating large-scale distributed systems, including data processing, lakehouse architectures, schema evolution, performance optimization, reliability engineering, and operational excellence.
