Data Engineers

**Responsibilities**:

- Design, develop, and maintain scalable data pipelines and ETL processes using Python, SQL, and Fivetran for integration with Snowflake data warehouse.
- Collaborate with cross-functional teams to gather requirements and implement data solutions that support business objectives.
- Optimize and tune existing data infrastructure to ensure performance, reliability, and data quality.
- Develop and maintain documentation for data processes, systems, and best practices.
- Stay updated on emerging technologies and best practices in data engineering and recommend enhancements to existing systems.

**Requirements**:

- Bachelor's degree in Computer Science, Engineering, or related field.
- Minimum of 3 years of experience in data engineering roles with a focus on building and optimizing data pipelines and ETL processes.
- Advanced proficiency in SQL and Python.
- Hands-on experience with Snowflake or similar cloud-based data warehousing technologies.
- Experience with Fivetran or similar ETL tools.
- Strong analytical and problem-solving skills with a keen attention to detail.
- Excellent communication and collaboration skills with the ability to work effectively in a cross-functional team environment.
- Ability to thrive in a fast-paced, dynamic work environment and manage multiple priorities effectively.

**Preferred Qualifications**:

- Experience working with big data technologies such as Hadoop, Spark, or Kafka.
- Knowledge of data modeling concepts and techniques.
- Familiarity with version control systems (e.g., Git) and CI/CD pipelines.
- Experience with other cloud platforms such as AWS, Azure, or Google Cloud Platform.