Senior Data Engineer

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 30000 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.
• Lead discussion sessions with stakeholders.
• Participate in all areas of the data Engineering life-cyclerequirements 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.

• 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 alongside
  • Azure 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.