SoloSOS - Lead Data Engineer - ETL/Hadoop (8-15 yrs) Any Location (Analytics & Data Science)
Delhi, IN
1d ago
source :

Lead Data Engineer

  • Extensive experience in Spark and Kafka
  • Working Knowledge in Java
  • Extensive experience as a data engineer and able to build the data pipelines and also understanding of the ETL pipelines
  • Extensive experience in creating and maintaining data aggregation layer using Spark
  • Experience in handling and successfully managing huge volume of streaming data
  • Processing events using Spark - Experience in setting up and running jobs on Spark
  • Experience in Analytics highly desirable
  • Translate complex functional and technical requirements into detailed design.
  • Extensive work experience in scalable and high-performance systems
  • Working knowledge of Linux commands and scripting
  • File queuing on Hadoop
  • Knowledge / experience in Druid is a definite PLUS.
  • Minimum Qualifications :

  • Bachelor's degree in Computer Science or a related field
  • 8+ years experience in ETL pipeline and Data analytics.
  • 5+ years experience building successful production software systems
  • Additional Project / Soft Skills :

  • Product from scratch experience : at least 2 products, should be able to work independently with India & US based team members.
  • Strong verbal and written communication with ability to articulate problems and solutions over phone and emails.
  • Strong sense of urgency, with a passion for accuracy and timeliness.
  • Ability to work calmly in high pressure situations and manage multiple projects / tasks.
  • Ability to work independently and possess superior skills in issue resolution.
  • Report this job

    Thank you for reporting this job!

    Your feedback will help us improve the quality of our services.

    My Email
    By clicking on "Continue", I give neuvoo consent to process my data and to send me email alerts, as detailed in neuvoo's Privacy Policy . I may withdraw my consent or unsubscribe at any time.
    Application form