Customer Data Engineer

As a Customer Data Engineer at the company, you will play a crucial role in building robust data pipelines, supporting customer data needs, and ensuring high data quality across the organization. You will have the opportunity to work in a fast-paced, collaborative environment where your contributions directly impact customer insights. Key Responsibilities: - Build, monitor, and optimize complex data pipelines to ensure data accuracy, consistency, and readiness for analytics and customer sharing. - Collaborate with customers and internal teams to understand their data needs for analytics and data science models. - Take ownership of data quality by actively resolving data issues and ensuring data integrity for end-users and customers. - Document and refine data workflows to enhance processes and quality standards for customer data solutions. Qualifications Required: - Bachelor's degree in Computer Science, Data Science, or a relevant technical field or equivalent. - 3-5 years of experience primarily working with data in analytics engineering or data engineering. - Strong proficiency in SQL and experience in data transformation and optimization. - Expertise in Python for building pipeline automation, logging, and debugging. - Strong knowledge of data modeling, schema design, and performance tuning. - Experience with data pipeline and ETL tools such as Airflow and Prefect. - Familiarity with cloud data solutions like AWS, Azure, and Google Cloud. - Proficiency in business intelligence tools such as PowerBI, Tableau, and Streamlit/Plotly for data presentation. - Understanding of data science and machine learning principles and workflows. As a bonus, you may have exposure to the Aviation and Maritime domains, connectivity and content engineering, and business knowledge. The company offers competitive health benefits starting on day one, a generous paid time off policy, a performance-based bonus, and the opportunity to work across various teams and organizations. Please note that Quvia will never ask job applicants to be interviewed via text message, provide personal banking information, or send money or deposit checks as part of the interview process. As a Customer Data Engineer at the company, you will play a crucial role in building robust data pipelines, supporting customer data needs, and ensuring high data quality across the organization. You will have the opportunity to work in a fast-paced, collaborative environment where your contributions directly impact customer insights. Key Responsibilities: - Build, monitor, and optimize complex data pipelines to ensure data accuracy, consistency, and readiness for analytics and customer sharing. - Collaborate with customers and internal teams to understand their data needs for analytics and data science models. - Take ownership of data quality by actively resolving data issues and ensuring data integrity for end-users and customers. - Document and refine data workflows to enhance processes and quality standards for customer data solutions. Qualifications Required: - Bachelor's degree in Computer Science, Data Science, or a relevant technical field or equivalent. - 3-5 years of experience primarily working with data in analytics engineering or data engineering. - Strong proficiency in SQL and experience in data transformation and optimization. - Expertise in Python for building pipeline automation, logging, and debugging. - Strong knowledge of data modeling, schema design, and performance tuning. - Experience with data pipeline and ETL tools such as Airflow and Prefect. - Familiarity with cloud data solutions like AWS, Azure, and Google Cloud. - Proficiency in business intelligence tools such as PowerBI, Tableau, and Streamlit/Plotly for data presentation. - Understanding of data science and machine learning principles and workflows. As a bonus, you may have exposure to the Aviation and Maritime domains, connectivity and content engineering, and business knowledge. The company offers competitive health benefits starting on day one, a generous paid time off policy, a performance-based bonus, and the opportunity to work across various teams and organizations. Please note that Quvia will never ask job applicants to be interviewed via text message, provide personal banking information, or send money or deposit checks as part of the interview process.