We are looking for a Mid-Level Data Engineer to join our team and help design, build, and optimize data pipelines that support key business decisions. You will work with modern data architectures, ensuring scalability, performance, and reliability of data solutions across different platforms.

Responsibilities:

– Design, develop, and maintain ETL/ELT processes to integrate data from multiple sources.

– Build and optimize data pipelines and data lakes using modern data stack technologies.

– Work with relational and non-relational databases to ensure efficient data storage and retrieval.

– Implement and maintain solutions on Google Cloud and Azure platforms.

– Collaborate with data analysts, data scientists, and other stakeholders to ensure data availability and quality.

– Contribute to the development of big data solutions and support streaming and batch data processing.

– Use version control tools like Git to manage codebase and ensure best practices.

– Ensure data quality, governance, and documentation are in place for all solutions delivered.

Nice to have

Experience with Airbyte for data integration and Airflow for orchestration.

Familiarity with Power BI or Tableau for dashboarding and visualization.

Knowledge of data streaming frameworks and real-time data processing.