Design, develop, and maintain ETL/ELT data pipelines from multiple sources.
Integrate and optimize data storage and processing for high performance and scalability.
Collaborate with data scientists and analysts to ensure clean, structured datasets for analysis.
iCodde is a technology recruitment and staffing company. They focus on building data infrastructure and offer referral bonuses to leverage personal networks.
Design, build, and maintain scalable data pipelines and ETL/ELT processes using Databricks and Spark.
Architect and optimize data models and storage solutions for analytics and operational use.
Implement observability, alerting, and data quality monitoring for critical pipelines.
Sonatype provides end-to-end software supply chain security solutions, protecting against malicious open source and managing SBOMs. With over 2,000 organizations and 15 million developers using its platform, it focuses on innovation and security in software development.
Design and implement a petabyte-scale AWS data platform using advanced engineering and cloud-native practices.
Build and optimize highly scalable data pipelines using JVM languages, Spark, and Python for production-ready data processing.
Act as a principal-level technical leader, mentoring engineers and driving architectural decisions to guide platform evolution.
Experian is a global data and technology company that powers opportunities for people and businesses around the world. With 25,200 employees across 32 countries, they have a people-centric, inclusive culture recognized as a World's Best Workplace.
Design, develop, maintain, and optimize ETL and data transformation processes.
Develop and maintain Apache Spark-based data pipelines and contribute to data integration initiatives.
Ensure data quality, reliability, and performance across data processing solutions.
Talan is an international consulting group specializing in innovation and business transformation through technology. With over 7,200 consultants in 21 countries and a turnover of €850M, the company delivers impactful, future-ready solutions.
Design and build scalable, fault-tolerant data pipelines that transform raw data into trusted datasets.
Develop and maintain batch and streaming data architectures to support reliable data processing at enterprise scale.
Own data quality, observability, and reliability through monitoring, alerting, and testing practices.
The partner company is a technology organization focused on building enterprise data infrastructure for analytics and AI. They foster a remote-first culture with a collaborative engineering environment and emphasis on professional growth.