
Technology • Cybersecurity • Consulting
NTT DATA Romania is a technology and consulting company that provides a wide range of services including business analytics, agile transformation, cloud computing, cybersecurity, data consultancy, and IT service management. They are dedicated to helping organizations optimize their operations and navigate digital transformation through innovative technological solutions.
1001 - 5000 employees
🔒 Cybersecurity
20 hours ago
Airflow
Amazon Redshift
AWS
Azure
BigQuery
Cloud
Docker
ETL
Google Cloud Platform
Kubernetes
PySpark
Scala
Spark
SQL

Technology • Cybersecurity • Consulting
NTT DATA Romania is a technology and consulting company that provides a wide range of services including business analytics, agile transformation, cloud computing, cybersecurity, data consultancy, and IT service management. They are dedicated to helping organizations optimize their operations and navigate digital transformation through innovative technological solutions.
1001 - 5000 employees
🔒 Cybersecurity
• Designing, training, and fine-tuning machine learning and deep learning models • Developing LLM-based solutions (RAG pipelines, chatbots, Q&A assistants, classification/extraction models) • Implementing MLOps pipelines for model deployment, monitoring, and CI/CD across cloud environments • Collaborating with data engineers and architects to build scalable data and model workflows • Communicating insights and technical decisions to both business and technical stakeholders • Preparing documentation and maintaining clear, structured model repositories and experiment tracking • Staying current with advancements in AI/ML, LLMs, and emerging applied AI techniques.
• Bachelor’s degree in Computer Science, Information Technology, or a related field (preferred) • Minimum 5 years of experience developing data pipelines in cloud environments • Practical experience with Databricks (Spark / PySpark / Scala) • Strong SQL skills and experience with ETL / ELT workflows, data modeling, and DWH concepts • Hands-on experience with at least one cloud data platform: Azure Data Lake / Synapse, AWS Glue / Redshift, or GCP BigQuery • Familiarity with DataOps / DevOps practices: CI/CD (GitLab CI, GitHub Actions, Azure DevOps) • Knowledge of Docker and basic Kubernetes deployment • Experience working with workflow orchestration tools (Airflow, Prefect, or similar) • Ability to maintain metadata, lineage, and data quality standards • Strong collaborative communication skills, comfortable working with Data Scientists, Architects, Product, and Delivery teams • Excellent command of written and spoken English.
• Health insurance • Flexible work arrangements • Professional development opportunities • Sponsored certifications and training • Coaching sessions • Themed events and parties
Apply Now5 days ago
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