Data Engineer (M/F)

Key Skills

AWS, Azure, AzureML, Data Engineering, Data science techniques, Database, Google Cloud Platform (GCP), IT, Machine learning techniques, Natural Language Processing (NLP), Python Programming

Job Description

The Data Engineer Role

As a Data Engineer, you will build and scale data components to key SESAMm products, such as raw data ingestion pipeline, job scheduling and ETL design/optimization,t optimize cloud solutions for Product Data Platform, and set up the best data development practices for other tech members. Communicate the work of your team with weekly updates.

You're joining a team that is already highly dynamic and adaptable, ready for expansion. This is a chance for you to play a key role in influencing and shaping the team's culture.

Key Activities

❖ Design and implement best data pipeline for our Text-based products (ingestion, processing, exposition) :

• Test and design state-of-the-art data ingestion pipelines
• Implement efficient streaming services

❖ Take part in the acquisition of new data sources

• For each new data source, describe its feasibility and potential
• Create and maintain data collection and centralization pipelines
• Integration of data enrichment modules created by Data Scientists

❖ Develop data request tooling for Technical teams

• Ease the use of data requesting engines
• Optimize architecture and data pipelines

❖ Implement and maintain critical data systems

• Process and integrate data in our systems
• Ensure maintainability and efficiency

Used technologies : PySpark, AWS EMR, Databricks, SQL, MongoDB,,, An excellent level of English proficiency, very good interpersonal skills and strong motivation are required. The candidate will need to demonstrate autonomy and innovation in the face of a constantly changing environment. The list of tasks described is not necessarily exhaustive and may be modified according to the constraints of the company and the evolution of its needs.

Desired Background and Skills

Education

• Engineering school/university with specialization in IT, software engineering or data science. Other types of profiles are welcome to apply as long as they have significant IT experience

Experience

• At least 3 years of experience in data engineering with a successful implementation of a cloud-based data processing pipeline

Skills

• Good understanding of different databases and data storage technologies 
• Very good knowledge of distributed computing systems, such as Spark
• Good knowledge of cloud computing systems, such as AWS, GCP, Azure ML
• Development: Be at ease with Python
• Good communication and popularization skills: understand technical team needs and issues, collaborate with several internal teams. Team player. 
• Additional skills: strong interest in Data Science / Natural Language Processing. 

You should be able to work in a product team and show high motivation. This job requires autonomy, curiosity toward a changing environment and real dedication to solving problems for clients

Benefits of Working at SESAMm

Flexibility: Team members can work remotely and have the opportunity to work with colleagues around the world.

Work environment: SESAMm is multicultural, with technology, sales, and management teams in the US, France, and Tunisia making important contributions to the company’s growth.

Career development: SESAMm is growing quickly, which means the opportunities for your own growth are continually expanding, and that you can shape the company’s culture and evolution.

Professional evolution: SESAMm values training and knowledge-sharing. We organize internally and externally led training sessions and pay for access to educational platforms.

Transparency: You will be kept apprised of the company’s continuing evolution and performance through monthly “Ask Me Anything” meetings, frequent business/finance updates, and strategy-sharing discussions.

Well-being: Building a good culture is key to building a good business at SESAMm. We focus on being a learning organization that values and supports teamwork, thoughtfulness, and work/life balance.

Job Specifics

• Location: Paris or Metz
• Duration: Permanent contract
• Type of contract: Full time
• Start Date: As soon as possible