Data Engineer
il y a 5 jours
Sidetrade is a leading global software company that specializes in transforming the Order-to-Cash process for international enterprises. Our AI-powered SaaS platform digitizes the financial customer journey, empowering Chief Financial Officers (CFOs) to secure and accelerate cash flow generation.
We are recognized as a Leader in Gartner's Magic Quadrant for two consecutive years, and we foster a culture of innovation, collaboration, and customer-centricity from our headquarters in Europe and North America.
Our R&D TeamOur R&D team comprises experienced technology professionals who share a deep passion for technology. Together, they are dedicated to developing cutting-edge software solutions that drive the transformation of our customers' work processes. We provide comprehensive training, coaching, resources, and mentorship to empower every team member's growth and nurture their success.
Job DescriptionWe are seeking a passionate and knowledgeable Data Engineer with a multifaceted skill set. Immerse yourself in the exhilarating world of Microservices & AI within our cutting-edge tech environment. Collaborate with like-minded individuals, embracing the latest tools, techniques, and technologies. Fuel your professional growth and innovation within our agile development ecosystem.
Key Responsibilities- Design and develop robust data pipelines that power our analytics, machine learning, and product features.
- Build and improve our Dataflows (ETL, Daemon, workers,...) and Datastorage.
- Build tools and automation capabilities for data pipelines to make data integration more reliable and scalable.
- Extend our Data Warehouse and Data Lake to empower data-driven decisions.
- Help build a data-platform to democratize data – create a single source of truth of all our data, open to and consumable by everyone at Sidetrade.
- Ensure unit tests are created and green with sufficient coverage.
- Ensure code analysis are green (sonar).
- Support implementation of secure design principles according to policies and standards of Information Security.
- Master's degree in a related field preferred.
- 3-5 years' experience in Data Engineering.
- Excellent knowledge of SQL and Python Object.
- Tableau, Talend, Elastic Search, Kafka, GreenPlum, DBT.
- Good understanding of relational and NoSQL databases (including data modelling, data warehousing).
- Mastery of data mining technologies.
- Knowledge of Rest API.
- Experience developing and supporting robust, automated, and reliable data pipelines.
- Attention to detail – downstream analytics, machine learning, and product features are only as good as the data integrity and quality from the data pipeline.
- Be familiar with Agile and DevOps frameworks.
- Sound knowledge of data architecture, scalability, and security/compliance.
- Knowledge of security concepts for data storage.
- Native-level proficiency in French and fluent in English.
- Participate in our Immersive Bootcamp.
- Review your onboarding plan with your manager and develop an action plan to achieve your goals.
- Collaborate with the team and participate to the roadmap.
- Build your internal network across all departments.
- Expand your skill set, share your expertise, and unlock your full potential.
We cultivate a multicultural environment that fuels innovation. With over 22 nationalities represented, we strongly value diversity, gender equality, inclusivity, and fairness. As an equal opportunity employer, we reject all forms of discrimination and harassment. Your unique contributions are celebrated, driving collective success in our inclusive workplace.
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