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The successful candidate will be responsible for designing and implementing data management solutions, collaborating with multi-national teams, and contributing to innovative projects. You will also have the opportunity to continuously learn and grow as part of our dynamic and inclusive culture.
Key Responsibilities:
- Lead a team of data engineers, organize teamwork, and solve technical and non-technical challenges.
- Design key software components of the data platform and build collaborative partnerships with architects and technical leads.
- Create and maintain optimal on-prem and cloud-based data pipeline architectures capable of ingesting structured and unstructured data using batch & streaming methods.
- Assemble large, complex data sets that meet functional and technical requirements and develop data flows that can leverage both on-premise and cloud architectures.
Requirements:
- Bachelor's degree in Computer Science, Information Systems, or another applicable field is preferred.
- At least 3 years of experience in a Data Engineer role.
- Advanced working knowledge of cloud-based data pipeline development, particularly on AWS.
- Experience building and optimizing data pipelines for data acquisition and management.
- Expertise in Databricks, Python, SQL, and AWS.
- B2+ English level.