Spark Data Engineer (onsite)

CloudQ
Bentonville, AR Full Time
POSTED ON 6/8/2024 CLOSED ON 7/2/2024

Job Posting for Spark Data Engineer (onsite) at CloudQ

Our client is looking for a highly energetic and collaborative Spark Data Engineer

Responsibilities

  • Design and develop big data applications using the latest open source technologies.
  • Desired working in offshore model and Managed outcome
  • Develop logical and physical data models for big data platforms.
  • Automate workflows using Apache Airflow.
  • Create data pipelines using Apache Hive, Apache Spark, Apache Kafka.
  • Provide ongoing maintenance and enhancements to existing systems and participate in rotational on-call support.
  • Learn our business domain and technology infrastructure quickly and share your knowledge freely and actively with others in the team.
  • Mentor junior engineers on the team
  • Lead daily standups and design reviews
  • Groom and prioritize backlog using JIRA
  • Act as the point of contact for your assigned business domain

Requirements

  • GCP Experience
  • 1 years of recent GCP/BIG Query experience
  • Experience building data pipelines in GCP
  • GCP Dataproc, GCS & BIGQuery experience
  • 5 years of hands-on experience with developing data warehouse solutions and data products.
  • 5 years of hands-on experience developing a distributed data processing platform with Hadoop, Hive or Spark, Airflow or a workflow orchestration solution are required
  • 2 years of hands-on experience in modeling and designing schema for data lakes or for RDBMS platforms.
  • Experience with programming languages: Python, Java, Scala, etc.
  • Experience with scripting languages: Perl, Shell, etc.
  • Practice working with, processing, and managing large data sets (multi TB/PB scale).
  • Exposure to test driven development and automated testing frameworks.
  • Background in Scrum/Agile development methodologies.
  • Capable of delivering on multiple competing priorities with little supervision.
  • Excellent verbal and written communication skills.
  • Bachelor's Degree in computer science or equivalent experience.

The most successful candidates will also have experience in the following:

  • Gitflow
  • Atlassian products - BitBucket, JIRA, Confluence etc.
  • Continuous Integration tools such as Bamboo, Jenkins, or TFS

Location: This position will be based in Bentonville, AR
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Estimate Salary for Spark Data Engineer (onsite) in Bentonville, AR
$122,856 (Medium)
$108,594 (25th)
$137,117 (75th)
For Employer
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