3 days ago
Bucharest, Romania or Cluj-Napoca, RomaniaMid Level
Responsibilities
- Design, build, and maintain scalable ETL/ELT pipelines and data workflows.
- Develop and support batch and real-time streaming data solutions.
- Improve platform reliability, monitoring, observability, and performance.
- Build integrations between internal systems, cloud services, external platforms, and connected IoT devices.
- Collaborate with software engineers, analysts, and platform teams to troubleshoot production issues and deliver data capabilities.
- Participate in technical design discussions, automation initiatives, CI/CD pipelines, and engineering best practices.
Requirements
- Strong hands-on Python experience developing production-grade software, data pipelines, APIs, and automation solutions.
- Experience designing and implementing ETL/ELT pipelines and scalable data processing solutions.
- Knowledge of SQL, data modeling, query optimization, and relational databases.
- Experience with cloud-based data platforms and modern data architectures, including AWS, Azure, or GCP.
- Hands-on experience with Apache Airflow or similar workflow orchestration platforms.
- Experience with Kafka or other event-driven and streaming technologies.
- Strong Linux fundamentals and experience supporting production environments.
- Familiarity with CI/CD practices, automated testing, Git workflows, and modern software delivery processes.
- Strong debugging, troubleshooting, problem-solving, independent work, and cross-functional collaboration skills.
- Preferred experience includes ClickHouse, Redshift, Snowflake, Spark/PySpark, Terraform, Docker, Kubernetes, large-scale production data platforms, AI/ML data pipelines, feature stores, machine learning infrastructure, data governance, data quality frameworks, and metadata management.
Benefits
- Hybrid working policies provide flexibility in managing work time and location.
- Structured career paths, continuous learning programs, technical training, certifications, and hands-on experience with data and cloud technologies.
- Collaborative technical community with knowledge sharing, mentorship, and support.
- Opportunity to work on a modern data platform serving multiple business domains and future AI initiatives.
Tech Stack
Amazon RedshiftApache AirflowApache KafkaApache SparkAWSAzureClickHouseDockerGitGoogle Cloud PlatformKubernetesLinuxPythonSnowflakeSQLTerraform
Categories
Data Engineering
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.