Software Engineer, Big Data

This role architects and builds the core data platform processing over 1PB of daily ad exchange events. The engineer designs and deploys scalable data pipelines and processing systems to handle billions of daily ad requests, ensuring high performance and reliability. Key technologies include distributed systems, big data frameworks, and cloud infrastructure.

This role involves building and maintaining data pipelines for CloudX's AI-native supply-side platform. The engineer will ensure data infrastructure supports analytics and machine learning.

This Big Data Engineer role designs and implements high-scale systems to retrieve, process, and analyze data from millions of digital users, generating customer-facing data. Working in a data research team alongside data scientists and analysts, the engineer improves data pipeline infrastructure and experiments with ML and big data processing technologies. Requires at least 4 years of software/data engineering experience in Python, Java, or Scala, with strong programming skills and CI/CD knowledge.

This role focuses on building and maintaining data pipelines and infrastructure to support Adikteev's data-driven marketing solutions. The position requires strong data engineering skills, with experience in large-scale data processing and cloud platforms.

Provide technical and strategic consulting to clients, ensuring successful adoption and optimization of Adform's advertising platform. Act as a bridge between clients and internal teams to drive value and growth.

Manage and optimize digital media campaigns for clients, leveraging Adform's platform to deliver performance and insights. Focus on campaign execution, reporting, and client satisfaction.