Python/ Scala Data Engineer

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. Requirements 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. Mandatory Skills Scala (preferred) / Python / PySpark SQL (must-have) All the above skills are mandatory.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. Benefits A challenging, innovating environment. Opportunities for learning where needed.