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.