As a senior member of the Analytics and Reporting team, the Data Engineer will design, model, develop, constructs tests and maintain data systems.
The Data Engineer will ensure that data architecture complies with regulations and supports business requirements. Through collaboration with members of the team as well as other teams, the Data Engineer will help with integrating new data sets (associated with M&A, new systems, etc.) with existing ones. In addition, the Data Engineer will work on discovering opportunities for new data acquisition (internal and external) and research new uses for existing data.
Also, the Data Engineer will lead the development of data standards and processes and will recommend and implement ways to improve data reliability, efficiency, and quality.
CORE JOB RESPONSIBILITIES
- Design, model, develop, constructs tests and maintain data systems
- Ensure data architecture complies with regulations and supports business requirements
- Integrate new data sets with existing ones
- Discover opportunities for data acquisition and research new uses for existing data
- Develop standards and processes for data modeling and mining
- Recommend and implement ways to improve data reliability, efficiency, and quality
- Employ an array of technologies and tools to connect systems together
- Collaborate with members of the team on the project’s goals
JOB SKILLS AND REQUIREMENTS
Knowledge & Experience Requirement:
- AWS Redshift, RDS, Glue
- Expert in SQL
PARALLEL IS UNITED BY OUR VISION, Mission, & Values
Our Vision – why we exist - is to pioneer well-being and improve the quality of life for humanity through the benefits of cannabinoids.
Our Mission – how we will do this – is to build a leading, global well-being company through the best talent, our values, trusted and recognized brands, science and technology-based innovation, and a relentless focus on execution and continuous improvement.
6 CORE VALUES OF A PARALLEL ASSOCIATE
Integrity - We operate in a regulated and unchartered industry. Act and make decisions that stand up to scrutiny and reflect our position as a sophisticated, credible and respected leader. Be honest, trustworthy, dependable, and honorable. Demonstrate sound moral and ethical ways of interacting.
Collaboration - We are a collection of the best talent at all levels. Learn and grow from this diversity: welcome healthy debate and proactively seek other perspectives and points of view to find the best solution while not resting on consensus. Proactively ensure the right people have the right information at the right time. Work as a team vs. an individual performer.
Agility - We are growing incredibly fast in a new industry. Be open to change, be ready to pivot on the moment’s notice, and act with a sense of urgency to take advantage of opportunities. Then be ready to do it again. Quickly –and calmly -respond and adapt to the unexpected. Modify and streamline processes, find more efficient ways of doing your job. Work efficiently across markets, time zones, and functions.
Intentionality - Intentionality requires action –it makes your intentions happen. Good thoughts are meaningless without action. It is initiative directed by the purpose to move our business forward. Intentionality is doing things important to you, even when not easy. Transformational change happens with intentionally.
Alignment - Together, we must understand and believe in our vision, mission, business and team goals and priorities. When we make a decision, even when we don’t have consensus we all align behind that decision and execute. We don’t revisit decisions unless we have material new data or circumstances.
Accountability - Make the best proactive and reactive decisions given the available information and the wisest counsel. • Own your decisions, actions and outcomes, and promptly correct mistakes. • Be reliable, honor commitments and do not finger point, off-load responsibilities, or criticize co-workers. Look after co-workers and team’s success.