5 days ago
Remote, Armenia or Yerevan, ArmeniaSenior
Responsibilities
- Design and develop batch and streaming data pipelines.
- Implement data solutions using BigQuery, Dataflow, Pub/Sub, and the GCP ecosystem.
- Collaborate with multidisciplinary teams in Agile environments.
- Ensure the quality, scalability, and performance of data solutions.
- Participate in technical reviews and contribute engineering best practices.
Requirements
- More than seven years of Data Engineering experience.
- Advanced experience with Google Cloud Platform, including BigQuery, Dataflow, and Google Cloud Storage.
- Strong SQL knowledge.
- Experience with Python or Java.
- Knowledge of Apache Airflow.
- Experience with Kafka or Pub/Sub.
- Intermediate or advanced English proficiency.
- Preferred experience with Dataform or dbt.
- Preferred knowledge of Fivetran, Alation, or Immuta.
- Preferred Google Cloud Professional Data Engineer certification.
- Preferred experience with Databricks or modern analytics platforms.
Benefits
- Reimbursement for virtual-work expenses.
- OSDE healthcare plan.
- Benefits at Megatlon and Fiter.
- 70% discount on CUI English, French, and Portuguese courses.
- Udemy and Next courses and certifications.
Tech Stack
Apache AirflowApache KafkaDatabricksdbtGoogle BigQueryGoogle CloudGoogle Cloud PlatformJavaPythonSQL
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.