Senior Data Engineer

Role overview

Senior Data Engineer at Orange Business

Responsibilities

• Lead discussion sessions with stakeholders.
• Prepare progress update and status report.
• Provide operational support, ongoing maintenance and enhancement after implementation as part of Run Management Activities.

Employment details

• Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working).
• Location: GURGAON [HARYANA] [INDIA], GURGAON [INDIA]

About the employer

• Join us at Orange Business!

Additional role details

• Publication date : Oct 12, 2026, 12:00AM.
• 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.
• 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 Senior Data Engineer 5-8 years of experience in building Data Pipelines with below KRA(S).
• Automate, Industrialize the build and development tasks.
• Participate in all areas of the data Engineering life-cycle,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.
• Implementing Best Data Integration Practices.
• 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 : Medallion and Kappa.
• 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 to have understanding of ELK stack .
• Good to have 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: UsesAzure Data Factory (ADF) for scheduled batch ETL/ELT orchestration, alongsideAzure Event Hubs and IoT Hub for high-throughput, real-time streaming data (such as app logs,. clickstreams, or IoT telemetry).
• Storage Layer: Uses Azure Data Lake Storage (ADLS) Gen2 and Azure Blob Storage as a scalable,cost-effective foundation to store raw, curated, and enriched data (often structured into a Bronze,.
• Silver, and Gold medallion architecture).
• Data Processing & Transformation: Uses Azure Databricks (powered by Apache Spark) for heavy big-data engineering, machine learning, and stream-batch processing.
• Data Warehousing & Analytics: Uses Azure Synapse Analytics as a unified platform to query, model, and serve transformed data to Business Intelligence (BI) tools like Power BI.
• Good knowledge on Azure Data Fabric.
• Good Experience ofAGILE methods (Scrum, Kanban).
• Good understanding of JIRA.
• Good to have understanding of Power BI Reporting.
• Understanding of Data Modelling is must.
• Understanding of Open Digital Architecture and TMF principles is preferably.
• Understanding of Tools Like DSS, Jupiter Notebook is preferably.
• You bring a can-do attitude, tackle challenges head-on and challenge the status quo with new and innovative ideas.
• Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.
• 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.
• At Orange, only your skills matter.
• Regardless of your age, gender, background, origin, religion, sexual orientation, disability, neurodiversity, or appearance, we actively encourage diversity within our teams, as it is a collective strength and a driver of innovation.
• Orange is a disability-inclusive employer: please feel free to let us know about any specific needs you may have.