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Parallel Wireless Off Campus Freshers Hiring For Data Engineer Position | Apply Now

Parallel Wireless Off Campus Details:

Company Info: People come to work at Parallel Wireless because we are building the future of telecom. They stay, because they are challenged and driven by an incredible product and team. We take pride in our commitment to employee development, and our culture fosters an atmosphere of empowerment, trust, respect, and communication. Learn more about our mission, vision and values.

Company Name: Parallel Wireless

Job Profile: Data Engineer Fresher

Work Location: BANGALORE /R&D – ACCESS DEVELOPMENT

Job Type: FULL TIME

We are looking for Data Engineer with goood hands on Data engineering and Advanced Analytics experience

What you will do :

  • As a Data Engineer you will a part of the Data Engineering and Advanced Analytics team; building fast and reliable data pipelines to collect data from thousands of remote wireless devices in distributed cloud
  • Develop code in Python, Golang and Scala to perform stream analytics, log analytics, monitoring and store data in NoSQL databases for analytics model development
  • Deploy containers in Kubernetes clusters to collect and analyze data
  • Follow software engineering best practices by estimating, documenting, and developing work products
  • Work in a fast-paced development environment applying advanced tools and technologies solving hard data engineering problems

What you will have:

  • Experienced in developing distributed data processing pipelines in Pandas, Kafka, for 2-3 years
  • Strong skills in writing code using Golang, Python, C/C++ or Java or Scala with unit tests
  • Proficiency in time-series databases and/or big-data data management: Prometheus, Influxdb, TSDB, Hadoop, Cassandra, Hbase, Hive
  • Familiarity with DevOps environment using tools, Jira, Git, Jenkins and CICD
  • Knowledge of packaging code as Micro-services and containers in Docker, Kubernetes
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Additional skills:

  • Experienced working in teams responsible for monitoring solutions using time-series analysis
  • Experience in developing UI with charts and graphs
  • Familiarity with other pieces of our technical stack (Prometheus, Grafana, HAProxy, Elasticsearch, Airflow)
  • Understanding of Linux and distributed computing
  • machine learning (AI) will be advantage
  • Publications or any classifcations

Education:

Bachelor or Master degree in CS or Math or Engg

Apply Before the link Expires for Parallel Wireless Off Campus.

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