Full Stack Developer Job at Connections Tech (Bucharest)

Full Stack Developer

Connections Tech

Location:
Romania , Bucharest

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

About us Founded in 2005 in Bucharest, we are a European group of innovative technology companies committed to helping businesses grow, optimize, and remain competitive. By leveraging cutting-edge technology, we enable companies to improve strategic KPIs and adapt seamlessly to the challenges of a dynamic global market. Our comprehensive services—including Business Process Management and Security Operation Center (SOC)—ensure businesses stay resilient and ahead in the digital era.

Requirements:

Minimum 5 years of experience in full stack software development, with a focus on: Back-end: Java (8+), Spring Boot, Spring Data, REST APIs
Front-end: Angular (v10+), RxJS, TypeScript, HTML/CSS
Hands-on experience in big data projects, covering: Ingest: Data collection and processing from multiple sources (batch & streaming)
Storage: Use of scalable databases (e.g., HDFS, Hive, HBase, Cassandra, MongoDB, Elasticsearch)
Transform & Modeling: Distributed processing (e.g., Spark, Flink, Beam), data cleansing, logical and physical data modeling
Visualization: Integration with visualization tools/frameworks (e.g., Kibana, Grafana, D3.js, Chart.js)
Pattern Identification: Experience in detecting patterns and anomalies in large datasets (analytics, rule engines, basic ML pipelines)
Strong knowledge in performance optimization of applications and data workflows (parallelization, caching, indexing, etc.)
Experience designing and implementing scalable, distributed architectures
Solid understanding of both relational (Oracle, PostgreSQL) and NoSQL databases
Experience with containers (Docker) and orchestration tools (Kubernetes – nice to have)
Familiarity with CI/CD tools and version control systems (Git, GitLab CI, Jenkins, etc.)

Nice to have:

Experience with streaming data processing frameworks (e.g., Kafka Streams, Apache NiFi, Apache Storm)
Integration with cloud services (e.g., AWS Glue, Azure Data Factory, GCP Dataflow)
Basic knowledge of machine learning or data science (e.g., scikit-learn, pandas, Spark MLlib)
Industry experience in high-data-volume domains: telecom, finance, IoT, fraud detection, etc.
Relevant certifications: Java, Spring, Big Data (Hadoop/Spark), Cloud (AWS, Azure, GCP)

Additional Information:

Job Posted:
January 02, 2026

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