- Design, implement and maintain standardised production-grade Onedot data pipelines
- Profile and analyse product master data to customise data pipelines
- Construct and build modern data transformation processes and workflows
- Train machine learning models to perform advanced data operations at scale
- Translate complex data requirements to standardised Onedot pipeline modules and implement them on the Onedot platform
- Master's degree in data science, computer science, business analytics, or similar
- Minimum of 3 years of experience in setting up, operating and tuning Spark data pipelines in production environments
- team player, effective communication skills and positive get things done mentality
- Excellent programming skills in R, Python, or similar
- Advanced technical skills related to data modelling, data mining, database design and performance tuning
- Deep understanding of state-of-the-art software and data engineering approaches
- Real-world implementation experience of machine learning applications
- Affinity to product data or master data management
- Expert know-how of implementing Spark data pipelines and performance tuning
- Practical experience with Amazon Web Services (AWS) and Terraform
- Good understanding of machine learning (ML) and natural language processing (NLP) concepts
- Experience working in a SaaS product development setting
- Performance-oriented compensation because we reward high-impact work
- Generous education & training budget to continuously broaden your skills
- Flexible work hours, because impact, not face-time counts
- Work from home, so that you can focus and get things done
- Strong culture promoting open feedback and personal development, to learn from each other and push forward as one team
- Cool office space right in down-town Zurich, Switzerland, because we like it cosy and comfortable
- Free snacks, drinks, coffee and other perks to keep you going
- Regular team events to foster new ideas and better get to know each other
Company
Onedot
Switzerland
Location
Remote Position
(From Everywhere/No Office Location)
Job type
Full-Time
Python Job Details
Job description
Most wanted: Technical data enthusiast with solid data preparation and data pipeline engineering skills.
Onedot was founded in 2014 to make unstructured and messy product data easily consumable by applying self-developed artificial intelligence. Onedot is a Swiss SaaS startup in the scaling stage offering commerce and industry the first intelligent platform to source, onboard, and distribute product data. Public companies with a global presence and rich history as well as some of the fastest-growing e-commerce startups are part of our expanding international customer base.
At Onedot, you will embed yourself into a demanding but exceptionally inspiring distributed environment with lots of room for personal growth. We are looking for colleagues who want to have a meaningful impact and shape our trendsetting product and company. High-quality work is rewarded with a steep learning curve, lots of autonomy, responsibility and swift decision-making. Become part of a multi-cultural and multi-faceted team led by the founders. Talented, curious and committed human beings from all over the globe are looking forward to your ideas and taking you on board.
As a Data Engineer at Onedot, you are responsible for designing, building and maintaining production-grade data pipelines crunching up to 100M+ product data records per month and customer. Our proprietary technology built with Scala on top of Apache Spark uses a custom DSL to model data flows efficiently. Designing and modelling complex data transformation processes and implementing them in a scalable and efficient way is what motivates you. You are familiar with the best practices of professional software engineering and can apply them in production pipelines. Your eye for the details is your strength and you know how the inner workings of Spark and database technology, in general, affect the performance and throughput of data pipelines. You like hands-on working with data and are curious to learn about groundbreaking new approaches to automated data preparation at Onedot. As a person, you are proud of your sharp analytical skills, which help you while troubleshooting large-scale processing jobs on our clusters and make you succeed in data profiling, modelling data flows, optimising data transformation steps, and tuning performance.
Onedot designs and engineers proprietary machine learning algorithms, probabilistic/statistical methods and advanced text understanding because existing approaches do not go far enough. Our technology achieves human-like performance and has already been trained with over 100 million different products.
Onedot is a startup backed by well-known international venture capital firms and world-class entrepreneurs.
Your responsibilities
As part of our dedication to the diversity of our teams, Onedot is committed to equal employment opportunity without regard for race, colour, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion.
This is a permanent remote or on-site full-time position with the option of using our offices in Zurich, Switzerland.
Sounds interesting? Apply today and we will get in touch with you shortly!
Most wanted: Technical data enthusiast with solid data preparation and data pipeline engineering skills.
Onedot was founded in 2014 to make unstructured and messy product data easily consumable by applying self-developed artificial intelligence. Onedot is a Swiss SaaS startup in the scaling stage offering commerce and industry the first intelligent platform to source, onboard, and distribute product data. Public companies with a global presence and rich history as well as some of the fastest-growing e-commerce startups are part of our expanding international customer base.
At Onedot, you will embed yourself into a demanding but exceptionally inspiring distributed environment with lots of room for personal growth. We are looking for colleagues who want to have a meaningful impact and shape our trendsetting product and company. High-quality work is rewarded with a steep learning curve, lots of autonomy, responsibility and swift decision-making. Become part of a multi-cultural and multi-faceted team led by the founders. Talented, curious and committed human beings from all over the globe are looking forward to your ideas and taking you on board.
As a Data Engineer at Onedot, you are responsible for designing, building and maintaining production-grade data pipelines crunching up to 100M+ product data records per month and customer. Our proprietary technology built with Scala on top of Apache Spark uses a custom DSL to model data flows efficiently. Designing and modelling complex data transformation processes and implementing them in a scalable and efficient way is what motivates you. You are familiar with the best practices of professional software engineering and can apply them in production pipelines. Your eye for the details is your strength and you know how the inner workings of Spark and database technology, in general, affect the performance and throughput of data pipelines. You like hands-on working with data and are curious to learn about groundbreaking new approaches to automated data preparation at Onedot. As a person, you are proud of your sharp analytical skills, which help you while troubleshooting large-scale processing jobs on our clusters and make you succeed in data profiling, modelling data flows, optimising data transformation steps, and tuning performance.
Onedot designs and engineers proprietary machine learning algorithms, probabilistic/statistical methods and advanced text understanding because existing approaches do not go far enough. Our technology achieves human-like performance and has already been trained with over 100 million different products.
Onedot is a startup backed by well-known international venture capital firms and world-class entrepreneurs.
Your responsibilities
As part of our dedication to the diversity of our teams, Onedot is committed to equal employment opportunity without regard for race, colour, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion.
This is a permanent remote or on-site full-time position with the option of using our offices in Zurich, Switzerland.
Sounds interesting? Apply today and we will get in touch with you shortly!
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