Strong track record in designing and implementing data pipelines and data warehouse solutions in cloud environments.
Hands-on experience with data modeling, ETL/ELT processes, and pipeline orchestration in production settings.
Experience working in cross-functional teams, translating business needs into technical solutions.
Strong proficiency in SQL and data warehousing platforms (Snowflake preferred).
Hands-on experience with ETL tools (IICS or equivalent), data transformation tools (dbt preferred) and Python for data processing.
Strong experience with cloud platforms (AWS preferred) including orchestration frameworks (Airflow preferred).
Strong experience with Generative AI technologies and best practices (e.g. Vector Databases).
Good knowledge of CI/CD practices (GitHub Actions preferred), version control (Git), and infrastructure as code principles (Terraform preferred).
Experience in designing and implementing engineering patterns and technical standards.
Collaborative mindset with strong problem-solving abilities.
Self-motivated and able to take initiative in a fast-paced environment.
Effective communication skills to work with both technical and business stakeholders.
Education: Master’s degree in Computer Science, Engineering, or a related field.
Languages: English is mandatory