Senior Data Integrations Engineer

Responsibilities

• Partner with a team of data engineers, providing technical guidance, mentorship, and support
• Act as a technical point of contact for clients and stakeholders, providing updates and addressing any data related technical inquiries or concerns
• Design, develop, and maintain efficient and robust data pipelines, ETL processes, and data workflows
• Develop and maintain data models and schema designs to support data storage and retrieval needs
• Optimize data storage, processing, and retrieval mechanisms for performance and scalability
• Provide technical leadership and guidance in the selection and implementation of data engineering tools and technologies
• Identify and implement best practices and standards for data engineering processes and tools
• Stay up-to-date with emerging technologies and trends in data engineering, evaluating their potential impact on our data infrastructure
• Collaborate with cross-functional teams to integrate data sources and enable seamless data flow across systems and with data scientists, analysts, and stakeholders to understand data requirements and develop scalable data solutions
• Implement and maintain data governance and security measures to protect sensitive information and to ensure data quality and integrity by implementing effective data validation and cleansing techniques

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, or Information Technology or at least 7 years of experience in data engineering
• 4-6+ years of data engineering experience
• 2-4 years of experience with SQL including, but not limited to: PostgreSQL, T-SQL, PL/SQL, SNOWSQL
• 2-4+ years of experience with building applications, system integrations, and web services
• 2-4+ years of experience with server-side scripting and programming in a Linux environment (primarily bash shell)
• Advanced understanding of common database (Oracle, Snowflake) technologies including performance, tuning, and optimization
• Advanced data manipulation skills and experience with on-prem and cloud-based data warehouse ETL tools and processes
• Basic understanding of business processes such as OTC, P2P, PIM to understand context of data usage