Senior Data Engineer
Orange Business Services1 month ago
Gurgaon, IndiaSenior
Responsibilities
- Automate and industrialize build and development tasks for the shared Big Data platform and data lake.
- Lead stakeholder discussions and collaborate with project and Business Analysis teams on delivery status.
- Perform requirements gathering, data mapping, systems design, data ingestion development, testing, deployment, monitoring, and post-implementation support.
- Build and maintain data pipelines handling large volumes of structured and unstructured data in batch and streaming modes.
- Resolve complex technical problems and provide innovative solutions to business challenges.
- Prepare data mapping documentation, progress updates, and project status reports.
- Provide ongoing maintenance, enhancements, and operational support through Run Management activities.
- Implement data integration best practices and support cloud-based data architecture.
Requirements
- 5-8 years of experience building data pipelines.
- Strong understanding of the Big Data ecosystem, including Hadoop and Spark.
- Experience with Python, Java, or Scala, with high coding proficiency in at least one language.
- Hands-on experience with NiFi, Hive, SQL/HQL, Oozie, PySpark, and Databricks.
- Experience handling large-volume structured and unstructured data in streaming and batch modes.
- Understanding of Kappa, Medallion, and Lambda architectures and data integration patterns.
- Understanding of Kafka, RabbitMQ, REST API concepts, and microservices architecture.
- Understanding of DevOps tooling and concepts, including Kubernetes, Jenkins, and GitLab.
- Strong understanding of cloud architecture and data modeling.
- Experience with Azure data engineering services and the Azure Data Engineering Stack.
- Understanding of Azure Data Fabric and preferably professional certification in a hyperscaler, particularly Azure.
- Experience with Agile methods such as Scrum and Kanban and understanding of JIRA.
- Preferred understanding of ELK, Prometheus, Power BI reporting, Open Digital Architecture, TMF principles, DSS, and Jupyter Notebook.
- Can-do attitude with an ability to challenge the status quo and develop innovative ideas.
Benefits
- Opportunity to work in multinational teams with colleagues and customers worldwide.
- Flexible working hours and the ability to combine office and home working through a hybrid arrangement.
- Training programs and upskilling or reskilling opportunities.
- Internal career growth and mobility opportunities within Orange.
- Health and well-being programs, diversity and inclusion initiatives, CSR activities, and employee events.
- Employee Referral Program and Change Maker Awards.
Tech Stack
Apache HadoopApache HiveApache KafkaApache SparkAzureDatabricksJavaJenkinsJupyter NotebookKubernetesPrometheusPythonRabbitMQScalaSQL
Categories
Data Engineering
About Orange Business Services
Orange Business Services is the enterprise arm of Orange S.A., headquartered in Paris, providing managed connectivity, cloud, cybersecurity, and unified communications to multinational companies and the public sector. It sells network and digital integration services—such as SD‑WAN, 5G, IoT/M2M, and collaboration—across more than 60 countries via long-term contracts and managed service agreements. The unit operates globally with deep telecom infrastructure backing from its parent carrier.