DevJobs

Data Engineer

Overview
Skills
  • SQL SQL
  • Scala Scala
  • R R
  • Python Python
  • Azure Azure
  • GCP GCP
  • AWS AWS
  • Data Modeling
  • Data Processing Frameworks
  • Data Warehousing
  • Database Design
  • ETL
  • Extract Transform Load
  • Data Engineering
  • Data Analytics
  • Cloud-based Solutions
  • Big Data Tools

Company Description

Maicelium is an innovative biopolymers company located in Israel. We deliver a biodegradable, circular, and superior alternative to petroleum-based plastics. Our material is cost-competitive, carbon-negative, and possesses outperforming properties.


We are committed to delivering a positive change in our industrial practices, for a cleaner future.


We're a young, positive and energetic team with progressive values, inspired by nature's wonder and dedicated to integrating its wisdom into our technology.


This is an opportunity to be part of the core team as we lay the foundation for Maicelium's future, with growth opportunities aligned with personal and company development. The position will officially open in February or March.


Role Description

This is a full-time hybrid role for a Data Engineer. The Data Engineer will design, develop, test, and maintain data processing systems. The Data Engineer will lead data modelling, Extract Transform Load (ETL) processes, data warehousing, and data analytics projects.


Infrastructure Development: abilities to lead the setup and configuration of infrastructure required for data collection, ensuring the reliability and scalability of systems.


IoT Implementation: Familiarity with technologies and protocols to effectively integrate and manage sensor networks.


Database Management: Proficiency in designing and managing databases for storing sensor data, ensuring data integrity and accessibility.


Project Management: Strong project management skills to oversee the setup of the infrastructure, ensuring it aligns with the project goals and timelines of a moving fast startup.


Scalability: Capability to design infrastructure that can scale as data volumes grow, accommodating the evolving needs of the project.


Cloud Computing: Knowledge of cloud computing platforms (e.g., AWS, Azure, GCP) and the ability to leverage cloud resources for scalability and data analysis.




Personal Skills and Characteristics:


1. Visionary Leadership: We're looking for a technology expert who can not only lead the technical aspects of our startup but also shape the future of bioplastic technology. 

A visionary leader who can inspire the team and align technology efforts with our mission.


2. Entrepreneurial Mindset: As our first technical hire, you should have an entrepreneurial spirit. We're seeking someone who thrives in a dynamic, resource-constrained startup environment and is willing to wear multiple hats to drive innovation.


3. Communication Skills: Communicating complex technical concepts to technical and non-technical stakeholders is vital. You should excel in conveying the significance of data-driven optimization and biotechnology to our team and potential investors if required.


4. Passionate about our planet Earth's environment and the fight against climate change: A commitment to sustainability and environmental responsibility is key. Your passion for creating eco-friendly alternatives to plastic should drive your work and inspire our team.


5. Strategic Thinking: We need a tech expert who can think strategically about how to leverage data, to achieve our long-term goals. Your decisions should be guided by a clear vision of where our technology is headed.


6. Team Building: As you grow into a leadership role, the ability to attract and build a technical team that shares your vision is crucial. Experience in team development and mentorship will be beneficial.


7. Problem-Solving Tenacity: Innovation often involves overcoming obstacles. Your persistence in tackling complex problems and finding solutions is very important.


Qualifications

  • Ph.D. or equivalent experience in Information Systems, or a related field, preferably with exposure to working with organisms, including crops, microorganisms, and biology monitoring.
  • Data Engineering and Data Modeling skills
  • Data Analytics skills
  • Experience with Extract Transform Load (ETL) processes and Data Warehousing
  • Experience with Python and SQL / Scala/ R and relevant data management programming languages, and database design
  • Experience with Big Data tools and data processing frameworks.
  • Experience with cloud-based solutions (AWS, Google Cloud, Azure)
  • Experience in the biopolymers, chemical, or related industries is a plus
Maicelium