Company Background
Our client is the second-largest private company in the world, specializing in food and feed formulation software. The company operates a large-scale, complex technology ecosystem that supports advanced analytics, formulation, and data-driven decision-making across global operations.
Project Description
The project involves working within a complex cloud-based ecosystem hosted primarily in Azure, consisting of multiple applications and parallel project workstreams. The platform supports data warehousing and big data processing to enable scalable analytics and business intelligence solutions.
Technologies
- Java, Scala, Python
- PostgreSQL, Amazon Redshift, Data Warehousing
- HDFS, Spark, Impala, Oozie, Hue
- Amazon S3, AWS Lambda, AWS Step Functions, Amazon Redshift
- Git, IntelliJ IDEA, Apache Airflow, Jenkins
What You'll Do
- Work in a highly interactive, team-oriented environment;
- Understand products, services, and platform features;
- Actively improve the software platform using new tools, frameworks, and technologies;
- Support internal users in organizing and operating cloud ecosystems across multiple applications and projects;
- Collaborate effectively with distributed teams across regions;
What Do We Offer
The global benefits package includes: * Technical and non-technical training for professional and personal growth; * Internal conferences and meetups to learn from industry experts; * Support and mentorship from an experienced employee to help you professional grow and development; * Internal startup incubator; * Health insurance; * English courses; * Sports activities to promote a healthy lifestyle; * Flexible work options, including remote and hybrid opportunities; * Referral program for bringing in new talent; * Work anniversary program and additional vacation days.
Job Requirements
- 3+ years of experience working in software development, data engineering, or platform engineering roles;
- Hands-on experience with Java, Scala, or Python;
- Experience with data warehousing and big data technologies;
- Familiarity with cloud-based data platforms and orchestration tools;
- Strong collaboration and communication skills;
- English level: B1+ (Intermediate) or higher;
