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Senior Data Engineer - Big Data & Cloud

4-6 Years
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Job Description

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 with 4-6 years of experience in building Data Pipelines on Prem and Cloud 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.
  • Good understanding of Big Data Ecosystem with frameworks like HADOOP, SPARK.
  • Good experience handling large volume data as well as both structured/unstructured data in Streaming and Batch modes.
  • High Coding proficiency in at least one modern programming language: Python, Java or Scala.
  • Hands on Experience on NiFi , Hive, SQL/HQL, Spark sql,Spark Steaming, Oozie, Airflow.
  • Good Understanding of Data Integration Patterns.
  • Good understanding of KAFKA, Rabbit MQ, AIR FLOW.
  • Good understanding of API concepts : REST and also microservices architecture
  • Experience of Devops tooling: Jenkins, Maven, GitLab, SonarQube, Docker.
  • Good Understanding of Devops Concepts and various technologies like Kubernetes, Dockers, Containers.
  • Good understanding of ELK stack .
  • Good Understanding of Monitoring tools like Prometheus, Grafanna etc.
  • Good Understanding of Cloud architecture is must.
  • Good to be professionally certified in any of the Hyperscalers especially GCP. Full Understanding of Compute, Network and Storage Services of GCP.
  • Proficiency in GCP services such as BigQuery, Dataflow, Pub/Sub, Dataproc, and Bigtable.
  • Good Understanding of Linux and Shell Scripting
  • Good Experience of AGILE methods (Scrum, Kanban)
  • Good understanding of JIRA.
  • Understanding of Data Modelling is value addition.
  • Understanding of Open Digital Architecture and TMF principles is preferrable.
  • Understanding of Tools Like DSS, Jupyter Notebook is preferrable

More Info

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Open to candidates from:
Indian

About Company

We are making business life easier, every day and all around the world

As a global IT and communications services provider, Orange Business Services helps companies collaborate more effectively, operate more efficiently and engage better with their customers – connecting their people, sites and machines securely and reliably.

Through a unique combination of robust network and IT infrastructure, managed services and professional, reliable people, we do everything we can to offer an outstanding customer experience - helping to change business life for the better.

Some facts & figures:
- we have nearly 28,500 staff in 100 countries & territories
- our network, the world's largest, reaches 220 countries and territories, including 88 Russian regional subdivisions and 200 Chinese cities.

about our customers:
- 3,000 multinationals
- 2/3 of top global 100 companies
- 70% of Fortune 500 financial services companies
- 8 million business mobile users

Our mobile operations span 26 countries and serve 207 million mobile customers, including 8 million business customers. As a founding member of the FreeMove Alliance, our mobile coverage spans 80 countries and serves +500 million customers.

Job ID: 117053437