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AI-Powered Job Summary
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- Help design, build and continuously improve the clients online platform 
 - Research, suggest and implement new technology solutions following best practices/standards 
 - Take responsibility for the resiliency and availability of different products 
 - Be a productive member of the team. 
 
- Develop robust data models and build data pipelines using dbt and Snowflake. 
 - Demonstrate strong technical expertise and hands-on experience with cloud-based data engineering and ETL stacks.
 - Collaborate effectively with multiple stakeholders, leveraging excellent communication and customer interfacing skills as part of a multi-disciplinary team.
 - Perform data process analysis and performance tuning to ensure optimal efficiency and scalability.
 - Write high-quality, efficient code with strong proficiency in SQL.
 - Possess solid data engineering experience in ETL/ELT processes and data pipeline development.
 - Work with DevOps practices, including CI/CD pipelines and GitHub for version control and automation.
 - Demonstrate experience with cloud computing platforms (e.g., AWS, Azure, GCP).
 - Work in alignment with Agile methodologies and contribute to iterative delivery cycles.
 
- Scala (preferred) / Python / PySpark
 - SQL (must-have)
 
Desired Skills
- Experience with Qlik or Power BI for data visualization.
 - Knowledge of cloud technologies and services (AWS, Azure, PaaS, SaaS).
 - Familiarity with DevOps, CI/CD, and GitHub practices.
 
- A challenging, innovating environment. 
 - Opportunities for learning where needed.
 
Key Skills
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