Data Engineer Confirmé(e) - expert PySpark - Services Financiers - Ile de France
Sopra Steria
About the role
About Sopra Steria
Sopra Steria, acteur majeur de la Tech en Europe, avec 50 000 collaborateurs dans près de 30 pays, est reconnu pour ses activités de conseil, de services et solutions numériques. Il aide ses clients à mener leur transformation digitale et à obtenir des bénéfices concrets et durables. Le Groupe apporte une réponse globale aux enjeux de compétitivité des grandes entreprises et organisations, en combinant une connaissance approfondie des secteurs d'activité et des technologies à une approche collaborative.
Sopra Steria place l'humain au cœur de son action et s'engage auprès de ses clients à tirer le meilleur parti du numérique pour construire un avenir positif. En 2024, le Groupe a réalisé un chiffre d'affaires de 5,8 milliards d'euros.
The world is how we shape it
Le monde est tel que nous le façonnons
Your Future Work Environment
You are passionate about data valorization, join our Data Factory located in Paris! You will meet experts in Data Platform implementation, Data Architects, or other solution experts around data valorization issues.
You will be supported in the development of your knowledge through different Data paths, whether for ingestion, data hub construction, data transformation and valorization, modeling, and deployment.
Joining our Sopra Steria Data Factory means joining a community of Data Engineers proud to share their knowledge and open to new data experiences and experiments.
Your Role and Missions
As part of the implementation of the Data center for a major financial player in the state and according to your preferences, you will participate in several stages of the chain:
- Understanding business needs and translating them into data engineering solutions
- Implementing data ingestion solutions, whether batch and/or streaming, in a Cloud context
- Structuring the DataLake, implementing data governance and security processes
- Processing data up to its exposure to the business
- Implementing the CI/CD chain and its supervision
- Technology watch with our publisher partners and implementing Prototype Designs, Proofs of Concept, or MVPs for client ideation purposes.
You master a programming language applied to data analysis (SQL, Scala, R, Python, Java), distributed data processing (Spark, Pyspark, Hadoop) and a data streaming framework (Kafka, RabbitMQ, etc.).
Qualifications
You are attracted by the world of digital, Cloud, and innovative technologies.
You have a good analytical mind, are curious and passionate, and you have a sense of teamwork in an Agile organization like Scrum or SAFE.
You place particular importance on developing your skills across multiple technologies. You desire real career progression through project experience. You are mindful of delivering value to your clients. And you want to share your knowledge with less experienced colleagues. If so, don't wait any longer, this position is for you!
Graduated from an Engineering school or equivalent training, you have already participated in a Data project (Big Data, BI) and have a minimum of 3 years of experience.
Proficiency in Dataiku would be a plus.
Additional Information
- A teleworking agreement to work remotely up to 2 days per week depending on your assignments.
- An attractive benefits package: health insurance, works council, meal vouchers, profit-sharing agreement, holiday and referral bonuses.
- Multiple career opportunities: over 30 job families, as many bridges to imagine together.
- Several hundred training courses accessible autonomously with Sopra Steria Academy.
- The possibility to engage with an association through our citizen engagement platform.
- The opportunity to join the Tech'Me UP collective (training, conferences, watch, and much more).
As an inclusive and committed employer, our company works daily to combat all forms of discrimination and promote a respectful work environment. Therefore, committed to gender balance and diversity, we encourage all applications and all profiles.
Skills
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