Data Engineer- Kaspr
Paris, Île-de-France, France
Cognism
Cognism is a leader in premium sales intelligence, setting a new standard for data quality and compliance, trusted by over 1800 customers worldwide.About Us
Kaspr is a SaaS business, helping salespeople, recruiters and marketers in their lead generation efforts. Kaspr is the leader of the French SMB market and is making major strides towards becoming the European leader in the space.
The concept is simple - retrieve contact information from identified LinkedIn profiles, via a Google Chrome extension.
There’s never been a more exciting time to join the Kaspr team – having recently been acquired by Cognism, Kaspr is expanding globally and rapidly having launched into 10 new countries in the past three months alone. Our people, culture (and vibrant new offices!) ensure all our employees feel empowered to succeed in their roles, while having fun along the way. We’d love to hear from you!
Summary:
We are now looking for an mid-level Data Engineer to join our fast-growing team. You will be responsible for building new systems that collect, manage, and convert raw data into usable information to analyze.
The ideal candidate is an experienced with big data pipelines and a natural data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our team and will ensure optimal data delivery architecture is consistent throughout on going projects.
If you are detail-oriented, with excellent organizational skills and experience in this field, we’d like to hear from you.
Key Responsibilities:
Building new systems that collect, manage, and convert raw data into usable information.
Support our team on data initiatives
Participate in all phases of software development including concept, design, prototyping, and production release
Work directly with non-technical associates to understand business requirements
Requirements
Our ideal candidate will:
- Have a 2+ years of experience as a software engineer
- Have a degree in Computer Science, Computer Engineering, Applied Statistics, Mathematics, or a related field (or you are in the process of achieving one).
- Have some programming experience with JavaScript/Python and NoSQL and are familiar with the principles of software engineering and data analytics.
- Be excited to try new technologies and develop your technical skills.
- Have know-how of designing and interacting with databases (SQL/NoSql).
- Have experience with AWS-based database systems.
- Be familiar with GIT and release engineering strategies.
- Be proficient in spoken and written English.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Big Data Computer Science Data Analytics Data pipelines Engineering Git JavaScript Mathematics NoSQL Pipelines Prototyping Python SQL Statistics
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