Lead Architect - Data
ref :584081 | 24 avr. 2025
date limite de candidature : 23 juil. 2025
- India Gurgaon - Inde
votre rôle
- Participate in all areas of the data Engineering life cycle and lead the team End to End Development to deployment.
- Lead the design, development, and maintenance of scalable data pipelines and ETL processes.
- Ensure the reliability, efficiency, and performance of data systems.
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
- Implement data governance and security measures to protect sensitive information.
- Optimize and tune data systems for performance and scalability.
- Develop and maintain documentation for data processes and systems.
- Troubleshoot and resolve complex data-related issues in a timely manner.
- Mentor and guide junior data engineers, fostering a culture of continuous learning and improvement.
- Stay updated with the latest industry trends and technologies in data engineering.
votre profil
Knowledge and Skills Required
- System Design & Engineering: Ability to create scalable, reliable, and efficient IT architectures
- Programming Languages: Proficiency in Python, Java, or Scala for data processing and scripting.
- SQL and Database Management: Strong experience with SQL and database management systems (e.g., MySQL, PostgreSQL, Oracle).
- Big Data Technologies: Familiarity with big data technologies such as Hadoop, Spark, and Kafka.
- Messaging Systems: Good understanding of Kafka and RabbitMQ for message brokering.
- Orchestration: Experience with Apache Airflow.
- API Concepts: Good understanding of RESTful APIs and microservices architecture.
- DevOps Tooling: Experience with Jenkins, Maven, GitLab, SonarQube, and Docker.
- Cloud Platforms: Experience with other cloud platforms (e.g., Google Cloud) is a plus.
- Data Warehousing: Knowledge of data warehousing solutions like Redshift, and Snowflake.
- Problem-Solving Skills: Strong analytical and problem-solving skills.
- Communication and Collaboration: Excellent communication and collaboration abilities.
- Agile Development: Experience working with Agile development methodologies.
- Monitoring: Understanding of Monitoring tools like Prometheus, Grafana etc is a plus
- Cloud Computing: Understanding cloud platforms like AWS, Azure, or Google Cloud
Requirements
- Bachelor’s or master’s degree in computer science, Engineering, or a related field.
- 10+ years of experience in data engineering or a related role.
- Demonstrated ability to design and implement complex data systems.
- Knowledge of data governance and security best practices.
le plus de l'offre
- Global opportunities: Work in multi-national teams with the opportunity to collaborate with colleagues and customers from all over the world
- Flexible work environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working)
- Professional development: training programs and upskilling/re-skilling opportunities
- Career growth: Internal growth and mobility opportunities within Orange
- Caring and daring culture: health and well-being programs and benefits, diversity & inclusion initiatives, CSR and employee connect events
- Reward programs: Employee Referral Program, Change Maker Awards
entité
Global Delivery & Operations
Orange Business manages and integrates the complexity of international communications, freeing our customers to focus on the strategic initiatives that drive their business. Our extensive experience and knowledge in global communication solutions, together with our understanding of multinational business and local support in 166 countries and territories, ensure that our customers receive a consistent, global solution wherever they do business
contrat
CDI
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