Join us at Orange Business!
We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.
Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.

• Good understanding of Big Data Ecosystem with frameworks like HADOOP, SPARK.
• Good Understanding of Data Layers : Bronze, Silver, Gold.
• Good experience handling large volume data as well as both structured/unstructured data in Streaming and Batch modes : Kappa, Medallion Architecture, Lambda Architecture
•  High Coding proficiency in at least one modern programming language: Python, Java or Scala.
• Hands on Experience on NiFi , Hive, SQL/HQL, Oozie, Pyspark, Data Bricks
• Good Understanding of Data Integration Patterns.
• Good understanding of KAFKA, Rabbit MQ.
• Good understanding of API concepts : REST and also microservices architecture
• Good Understanding of Devops toolings and Concepts like Kubernetes, Jenkins, Gitlab
• Good understanding of ELK stack .
• Good Understanding of Monitoring tools like Prometheus etc.
• Good Understanding of Cloud architecture is must. 
• Good to be professionally certified in any of the Hyperscalers preferably Azure.
• Azure Data Engineering Stack:
• Data Ingestion: Azure Data Factory (ADF)  ETL/ELT service for orchestrating workflows. Event Hubs and IoT Hub are used for high-speed streaming data.
• Storage: Azure Data Lake Storage (ADLS) Gen2/Azure Blob Storage as the foundational, scalable storage layer. 
• Data Processing & Transformation: Azure Databricks in Apache Spark environment for big data processing. Azure Synapse Analytics as a unified workspace for data warehousing and analytics.
• Good to have knowledge on Azure Data Fabric.
• Good Experience of  AGILE methods (Scrum, Kanban)
• Good understanding of JIRA.
• Good Understanding of Power BI Reporting.
• Understanding of Data Modelling is value addition.
• Understanding of Open Digital Architecture and TMF principles is preferrable.
• Understanding of Tools Like Dataiku, Jupyter Notebook is preferrable.

 

 

As part of the Big Data B2B program, OBS set up a shared Big Data platform and a Data Lake for Use cases exploration and industrialization.

We are looking for Lead Data Engineer with 4-5 years of experience in building Data Pipelines with below KRA(S):

• Automate, Industrialize the build and development tasks.
• Lead discussion sessions with stakeholders.
• Participate in all areas of the data Engineering life-cycle and lead the team in requirements gathering and data mapping, systems design, data ingestion development, preparing data mapping documentation, testing and deployment, post implementation support and monitoring.
• Resolve and troubleshoot problems and complex issues.
• Provide innovative solutions to complex business problems.
• Report to and work closely with project teams and Business Analysis team on project delivery status.
• Prepare progress update and status report.
• Provide operational support, ongoing maintenance and enhancement after implementation as part of Run Management Activities.
• Implementing Best Data Integration Practices.

You bring passion, energy, taste for exploration and adaptability. You seek the opportunity to expand your knowledge and develop new skills.

• Global Opportunities: Work in multi-national teams with 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.

Regardless of your age, gender identity, race, ethnic origin, religion/belief, sexual orientation, marital status, neurotype, disability, veteran status or appearance, we encourage diversity within our teams because it is a strength for the collective and a vector of innovation. Orange Group is a disabled-friendly company and equal opportunity employer: don't hesitate to tell us about your specific needs.