Join Quant as a Data Engineer!In an age of Big Data, our goal is to empower organizations in decision-making through data and science. As a Data Engineer, you will be essential in developing, maintaining, and optimizing data pipelines and infrastructure to support our analytics and data science initiatives.
Key Responsibilities:- Design, build, and maintain efficient and reliable data pipelines using SQL, Python, and cloud technologies.
- Support integration of multiple data sources into centralized systems.
- Perform data cleansing, transformation, and validation for data accuracy.
- Collaborate with data teams to ensure data availability.
- Monitor and improve existing ETL processes.
- Implement data models for reporting and analytics.
- Apply software engineering best practices.
- Maintain up-to-date technical documentation for data workflows.
Requirements:- Proficient in Python for scripting and automation.
- Solid understanding of SQL and relational databases.
- Familiarity with ETL tools (*, Airflow, Alteryx).
- Basic knowledge of cloud platforms (AWS, GCP, Azure).
- Understanding of data modeling and visualization tools.
- Strong problem-solving skills and detail-oriented.
- Ability to collaborate in a multicultural environment.
- Bachelor’s degree in Computer Science or related field.
- Eagerness to learn and grow in a data-focused role.
