Requisitos:Additional requirements (other than skills) Experience in Data Engineering or a similar role.
Hands-on experience with SQL database design and query optimization.
Experience designing and analytics platform from the ground up
Experience administering, monitoring, and operating databases.
Extensive hands-on experience with ETL tools.
Knowledge of programming languages (e.G. Java and Python).
Experience working cross-functionally with Product, Engineering, and Delivery teams.
Excellent analytical and problem-solving skills.
A knack for independence and group work.
Scrupulous approach to work.
Capacity to successfully manage a pipeline of duties with minimal supervision.
Language(s) required
English - Conversational
Challenges
We are looking for a Data Engineer to join our growing engineering team. The hire will be responsible for expanding and optimizing our transactional and analytical database design, working with analytics stakeholders to define database requirements, and create ETL and data collection scripts for cross-functional teams.
The Data Engineer will support our software developers, data analysts, and data scientists on analytics initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. You should be comfortable working in a self-directed environment and supporting the data needs of multiple teams, systems, and products.
The right candidate will be excited by the prospect of optimizing or even re-designing our companys data architecture to support our next generation of products and data initiatives.Actividades a realizar: Design and maintain our analytical database. To succeed in this data engineering position, you should have strong analytical skills and the ability to move data from our transactional database to our analytical database by creating, monitoring and maintaining an optimal ETL architecture, that helps aligning data systems with business goals. Identify, design, and implement internal process improvements including: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
Build the foundation for a high-quality data platform. Evaluate business needs and objectives to design and build a data platform that allows the development of insightful analytical dashboards and serves as a data source for our assessment and learning content recommendation algorithms. Build analytics tools that utilize the data pipeline to provide actionable insights into key business performance metrics for our customers.
Improve data quality and efficiency. Construct datasets that are easy to analyze and support company requirements. Implement methods to improve data reliability and quality. Identify opportunities for data acquisition. Assemble flexible data sets that meet functional and non-functional business requirements.
Work with stakeholders including the Executive, Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs. Work with data and analytics experts to strive for greater functionality in our data systems.Ofrecemos:Organization: Workera
REMOTE
Why this opportunity exists
We work to build a meritocratic world where everyone has the opportunity to achieve their fullest career potential.
Workera is a fast-growing startup. Were looking to expand the business across all levels to effort the implementation the worlds highest quality educational products.
About the organization(s)
Workera, backed by Owl Ventures (the worlds largest ed-tech VC) and Andrew Ngs AI Fund, is a precision upskilling company that enables learners and organizations to identify, measure, interpret, and develop the right Data and AI skills to realize their fullest potential today and in the future.
Were founded by Kian Katanforoosh, award-winning Stanford Computer Science Lecturer who has taught AI to over a million people, and James Lee, former VP of Global Operations at Udacity. Its chairman of the board is Dr. Andrew Ng, co-founder of Coursera (NYSE: COUR), CEO of DeepLearning.AI, and founding lead of the Google Brain project.
Our vision is to help humanity measurably close the skills gap to achieve its fullest potential.
Working at Workera
Team culture
We hope you will fit well with our teams culture:
Mission-driven: We believe that everyone, regardless of their past, should have the opportunity to achieve their fullest potential. We want to bring that opportunity to every individual by uncovering their unique capabilities to contribute to humanity.
Growth mindset: We teach each other new skills and invest in our continuous development.
Team-oriented: We care and watch out for each other. Were humble individually and go after big goals together.
Diversity: Our team is distributed around the globe; we embrace and celebrate our differences, whether they are cultural, sexual, religious, or professional.
Salario: A convenir
