Key Responsibilities :

- Design, construct, install, test, and maintain highly scalable data pipelines.

- Develop complex database queries for data analysis and extraction.

- Implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders.

- Optimize data pipelines and architectures for performance and scalability.

- Integrate new data management technologies and software engineering tools into existing structures.

- Work with data and analytics experts to strive for greater functionality in our data systems.

- Experience with Git and platforms like GitHub/GitLab for source code management.

Qualifications :

- Bachelor's or Master's degree in Computer Science, Information Technology, or are related field.

- 1+ years of experience in a Data Engineer role or similar position.

- Advanced proficiency in Python programming for data engineering tasks.

- Expertise in SQL database design and development.

- Strong experience with data modeling and building ETL pipelines.

- Proven experience with orchestration tools such as Apache Airflow, Prefect, or similar.

- Familiarity with cloud services like AWS or GCP.

- Excellent analytical and problem-solving abilities.

- Strong communication and collaboration skills, able to work effectively with teams across the organization