Senior Data Engineer

1 week ago

Gurgaon, Haryana, India Orange Business Full time

Job Summary

Orange Business is seeking a Senior Data Engineer to join our Big Data B2B program. As part of this program, we have set up a shared Big Data platform and a Data Lake for use cases exploration and industrialization.

The successful candidate will have 4-6 years of experience in building Data Pipelines on Prem and Cloud with the following key responsibilities:

  • Automate and industrialize build and development tasks.
  • Lead discussion sessions with stakeholders.
  • Participate in all areas of the data engineering life-cycle, including requirements gathering, data mapping, systems design, data ingestion development, testing, and deployment.
  • Resolve and troubleshoot complex issues.
  • Provide innovative solutions to complex business problems.
  • Report to and work closely with project teams and the Business Analysis team on project delivery status.
  • Prepare progress updates and status reports.
  • Provide operational support, ongoing maintenance, and enhancement after implementation as part of Run Management Activities.
  • Implement best data integration practices.

Requirements

  • Good understanding of Big Data Ecosystem with frameworks like HADOOP, SPARK.
  • Good experience handling large volume data as well as both structured and unstructured data in streaming and batch modes.
  • High coding proficiency in at least one modern programming language: Python, Java, or Scala.
  • Hands-on experience with NiFi, Hive, SQL/HQL, Spark SQL, Spark Streaming, Oozie, Airflow.
  • Good understanding of data integration patterns.
  • Good understanding of KAFKA, Rabbit MQ, AIR FLOW.
  • Good understanding of API concepts: REST and microservices architecture.
  • Experience with 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, Grafana.
  • Good understanding of cloud architecture.
  • 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 modeling is a value addition.
  • Understanding of Open Digital Architecture and TMF principles is preferable.
  • Understanding of tools like DSS, Jupyter Notebook is preferable.

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