Data Management Engineer

Join a dynamic team of engineers responsible for the development, maintenance, and enhancement of technologies in the Data Analytics Catalog and Data Management domains. The scope includes tools such as Collibra, Schedulix, Trillium, Tibco CIM, Tibco EBX, Informatica MDM, and Informatica SaaS MDM. The role involves software development, configuration, AWS infrastructure setup, and quality assurance.

Tasks:

• Develop, configure, and maintain Collibra and MDM/RDM tools.

• Implement and manage AWS-based serverless solutions using Infrastructure as Code (Terraform preferred).

• Design and maintain scalable applications with REST and Graph APIs.

• Integrate and manage metadata, data lineage, profiling, and quality processes.

• Collaborate in Agile/Scrum or Kanban teams under the guidance of a Technical Product Manager.

• Conduct code reviews and ensure adherence to best practices.

• Create and maintain technical documentation with high attention to detail.

• Support DevOps practices including CI/CD pipelines (GitHub Actions preferred).

• Work with containerization technologies like Docker and Kubernetes.

• Perform data transformation tasks (ETL/ELT) and manage relational and NoSQL databases.

Requirements:

• 5+ years of experience in Python.

• Proficiency in Groovy (especially for Collibra-related tasks).

• Experience with AWS, especially serverless architecture and Terraform.

• Understanding of microservices architecture and design patterns.

• Deep knowledge of Collibra Data Governance (configuration, metadata ingestion, workflows, etc.).

• Experience connecting to diverse data sources for metadata and data quality management.

• Strong skills in designing and maintaining scalable applications.

• Experience with REST and Graph APIs.

• Proficiency in Git.

• Experience working in Agile/Scrum environments.

• Familiarity with DevOps methodologies and CI/CD pipelines (GitHub Actions preferred).

• Experience with Docker and Kubernetes.

• Knowledge of testing frameworks like pytest or unittest.

• Ability to conduct thorough code reviews.

• Experience with ETL/ELT processes.

• Familiarity with relational (PostgreSQL, MySQL) and NoSQL (DynamoDB) databases.

• Strong documentation skills and attention to detail.

Offer:

• 100% remote work

• MultiSport Plus

• Group insurance

• Medicover Premium

• e-learning platform