What you'll Do

• Primarily provides pre-sales technical support for the development and implementation of complex products/applications/solutions. 
• Uses in-depth product knowledge to provide technical expertise to sales staff and the customer through sales presentations and product demonstrations.
• Assists the sales staff in assessing potential application of company products to meet customer needs and may prepare detailed product specifications for the development and implementation of customer products/applications/solutions.
• May create detailed design and implementation specifications for complex products/applications/solutions.
• May build a mini-application based on customer requirements to demonstrate feasibility of the application, often requiring rapid prototyping and/or product demo for client.
• May provide consultation to prospective users and/or product capability assessment and validation.

• Data Pipeline Development: Design, build, and maintain scalable data pipelines to process large volumes of data from various sources.
• Data Integration: Integrate data from multiple sources, ensuring data quality and consistency.
• Database Management: Develop and manage databases and data warehouses, optimizing for performance and scalability.
• Data Modeling: Develop and maintain data models to support business intelligence and analytics needs.
• Collaboration: Work closely with data scientists, analysts, and other collaborators to understand data requirements and deliver solutions.
• Data Quality: Implement data quality checks and monitoring to ensure data accuracy and reliability.
• Documentation: Document data processes, pipelines, and systems for transparency and knowledge sharing.
• Technical Support: Provide technical support and troubleshooting for data-related issues.

What you need to succeed

• Education: Bachelor’s degree or equivalent experience in Computer Science, Engineering, or a related field. Master’s degree or equivalent experience is preferred.
• Experience: Proven experience as a Data Engineer or in a similar role.
• Technical Skills: Proficiency in SQL, Python, and data pipeline tools (e.g., Apache Airflow, AWS Glue). Experience with big data technologies (e.g., Hadoop, Spark) is a plus.
• Analytical Skills: Strong problem-solving skills and attention to detail.
• Communication: Excellent communication and collaboration skills.

Preferred Qualifications

• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).
• Familiarity with standard methodologies for data governance and security.
• Familiarity with machine learning and data science concepts.