Senior Product Engineer
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موقع الوظيفة:
الراتب شهرياً:
تاريخ النشر:
أمس
عدد الوظائف الشاغرة:
1 عدد الوظائف الشاغرة
ملخص الوظيفة
About Capgemini
Capgemini is a global business and technology transformation partner helping organizations to accelerate their dual transition to a digital and sustainable world while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340000 team members in more than 50 countries. With its strong over 55-year heritage Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering all fueled by its market leading capabilities in AI generative AI cloud and data combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of 22.1 billion.
Job Description:
We are looking for a highly skilled Senior Product Engineer / Developer with expertise in data engineering pipeline development and advanced analytics. This role involves designing and implementing scalable data solutions building robust ETL pipelines and developing machine learning models to drive actionable insights. The ideal candidate combines strong engineering capabilities with data science proficiency enabling the creation of innovative data-driven products and solutions.
Key Responsibilities
Data Engineering & Pipeline Development
- Design implement and optimize ETL processes to handle large-scale data ingestion and transformation tasks.
- Build scalable high-performance data pipelines for structured and unstructured data within the EAF context.
- Ensure data quality reliability and security through validation cleansing and enrichment routines.
- Integrate cloud platforms databases and APIs to create efficient data architectures for advanced analytics.
- Collaborate with data scientists analysts and business stakeholders to ensure data is optimized for analysis and reporting.
Data Science & Analytics Development
- Develop machine learning models algorithms and statistical analyses to extract valuable insights from data.
- Utilize tools such as Python R Spark and SQL for data processing feature engineering and predictive modeling.
- Analyze large datasets to identify trends correlations and actionable business insights.
- Build automated data pipelines for training and deploying machine learning models into production environments.
Qualifications:
- Bachelors or Masters degree in Computer Science Data Engineering or related field.
- 5 years of experience in software/product development with a focus on data engineering and analytics.
- Outstanding English communication both verbal and non-verbal.
- Strong proficiency in Python R SQL and experience with big data frameworks (e.g. Spark Hadoop).
- Hands-on experience with ETL tools data pipeline orchestration and cloud platforms (AWS Azure GCP).
- Solid understanding of machine learning techniques statistical modeling and data visualization.
- Familiarity with API integration microservices and containerization (Docker Kubernetes).
- Excellent problem-solving skills and ability to work in Agile/DevOps environments.
Required Experience:
Senior IC
المهارات المطلوبة
- APQP
- Six Sigma
- GD&T
- Root cause Analysis
- CAD
- Project Leadership
- SolidWorks
- مهندس ميكانيكي
- إدارة الجودة
- تطوير المنتجات
- CATIA
- التصنيع
عن الشركة
A global leader in consulting, technology services and digital transformation, we offer an array of integrated services combining technology with deep sector expertise.
