Distributed Cloud | Cloud Data Engineer

We are searching for an experienced and versatile Cloud Data Engineer to join our data team. You will be responsible for designing, building, and optimizing robust, scalable, and highly available data pipelines and ETL/ELT solutions in leading cloud environments (AWS, GCP, Azure). This role requires a strong focus on data quality, automation, and performance optimization across the data lifecycle.

• Design, build, and maintain scalable data pipelines and ETL/ELT processes using modern cloud-native services and technologies (e.g., DataFlow, Glue, Data Factory, etc.).

• Develop and optimize data infrastructure in cloud environments to ensure reliable, high-speed data ingestion and processing.

• Implement data quality checks, monitoring, and validation to ensure accuracy and integrity of data across all systems.

• Collaborate closely with Data Scientists and Data Analysts to ensure data readiness for reporting, analytics, and machine learning initiatives.

• Automate deployment, monitoring, and testing of data infrastructure and pipelines using Infrastructure as Code (IaC) and CI/CD practices.

• Manage and optimize cloud data storage solutions (e.g., data lakes, data warehouses) for performance and cost efficiency.

• Provide technical guidance and recommendations on data architecture and technology choices in a multi-cloud context.

• ​​​​​​3+ years of proven experience as a Data Engineer, Cloud Engineer, or a similar role focused on building production-grade data pipelines.

• Mandatory hands-on experience with cloud data services across at least two major platforms (e.g., AWS, GCP, or Azure).

  • Examples of valued services: BigQuery/Dataflow/Dataproc (GCP), EMR/Glue/Redshift (AWS), or Data Factory/Synapse (Azure).

• Strong proficiency in SQL and extensive experience with data warehousing concepts and technologies.

• Expertise in at least one programming language commonly used for data engineering (Python is highly preferred).

• Experience with Infrastructure as Code (IaC) tools like Terraform for automating data infrastructure deployment.

• Solid understanding of distributed systems, data modeling techniques, and ETL/ELT frameworks.

• Excellent analytical and problem-solving skills, with a passion for continuous learning and data governance.

Preferred Skills:

• Experience with streaming data technologies (e.g., Kafka, Pub/Sub, Kinesis).

• Knowledge of containerization and orchestration (Docker, Kubernetes).

• Relevant cloud certifications (e.g., Google Certified Professional Data Engineer, AWS Certified Data Analytics – Specialty).

The Devoteam Group works for equal opportunities, promoting its employees based on merit and actively fights against all forms of discrimination. We are convinced that diversity contributes to the creativity, dynamism and excellence of our organization. All of our vacancies are open to people with disabilities.