Senior Data Engineer (Python) – Cannabis (ID: 2005) at Truelogic Software Full Time

Truelogic is a leading provider of nearshore staff augmentation services, located in New York. Our team of 500 tech talents is driving digital disruption from Latin America to the top projects in U.S. companies. Truelogic has been helping companies of all sizes to achieve their digital transformation goals.

Would you like to make innovation happen? Have you ever dreamed of building Products that impact millions of users? Nice! Then we have a seat for you on our team!

What are you going to do?

You will have the opportunity to work in a forward-thinking and growth-oriented environment, at a leading enterprise cloud commerce platform that streamlines retail and supply chain operations within the cannabis market. Through its innovative technology for retailers and brands, the company provides a robust breadth and depth of software solutions required to operate a successful modern dispensary.

Occupy a unique position in the market as a Data Engineer, you will be responsible for designing the data architecture for our organization. You will collaborate with and mentor cross-functional teams, including engineers, analysts, and business stakeholders, to ensure the integrity, availability, and security of our data assets. Your expertise in data modeling, database design, and data integration will play a vital role in driving data-driven decision-making and supporting our business objectives.

• Architect and Implement Design and implement scalable, efficient data solutions tailored to our evolving needs.
• System Development Develop and sustain distributed data systems, ensuring their performance, security, and integrity.
• Cloud Warehousing Collaborate with our architecture guild to lead the design and implementation of our cloud warehousing needs, prioritizing AWS services.
• ETL Optimization Implement and optimize ETL processes to seamlessly integrate data.
• Snowflake Management Utilize and optimize Snowflake for data warehousing and analytics.
• Cross-functional Collaboration Collaborate with diverse teams to grasp data requirements and deliver effective solutions.
• Issue Resolution Troubleshoot and resolve data-related issues promptly.
• Mentorship Provide guidance and foster growth opportunities for junior engineering staff.

What will help you succeed

• 5+ years Proven Expertise: Demonstrated success in a data-intensive role.
• Technical Proficiency: Significant hands-on experience with AWS, executing ETL processes, managing cost optimization, and navigating cloud infrastructure. And with Python and Snowflake.
• Governance Acumen: Some background in data and user governance, you are not scared of an ACL.
• Leadership Capacity: Ability to lead junior engineers and contribute actively to the engineering lifecycle.