Demo

Big Data Specialist

Impetus
Phoenix, AZ Full Time
POSTED ON 1/12/2025
AVAILABLE BEFORE 4/3/2025

Job Description

At Impetus Technologies, we drive innovation and deliver cutting-edge solutions to our clients. We are hiring an experienced Big Data Engineer with a strong focus on GCP / Azure / AWS to join our team in Phoenix, AZ. The ideal candidate will have extensive experience in Hadoop, Spark (Batch / Streaming), Hive, and Shell scripting and solid programming skills in Java or Scala. A deep understanding and hands-on experience with GCP / Azure / AWS are critical for this role.

Qualifications :

  • Proven experience with Hadoop, Spark (Batch / Streaming), and Hive.
  • Proficiency in Shell scripting and programming languages such as Java and / or Scala.
  • Strong hands-on experience with GCP / Azure / AWS and a deep understanding of its services and tools.
  • Ability to design, develop, and deploy big data solutions in a GCP / Azure / AWS environment.
  • Experience with migrating data systems to GCP / Azure / AWS .
  • Excellent problem-solving skills and the ability to work independently or as part of a team.
  • Strong communication skills to effectively collaborate with team members and stakeholders.

Responsibilities :

  • Development : Design and develop scalable big data solutions using Hadoop, Spark, Hive, and GCP / Azure / AWS services.
  • Design : Architect and implement big data pipelines and workflows optimized for GCP / Azure / AWS, ensuring efficiency, security, and reliability.
  • Deployment : Deploy big data solutions on GCP / Azure / AWS, leveraging the best practices for cloud-based environments.
  • Migration : Lead the migration of existing data systems to GCP / Azure / AWS, ensuring a smooth transition with minimal disruption and optimal performance.
  • Collaboration : Work closely with cross-functional teams to integrate big data solutions with other cloud-based services and business goals.
  • Optimization : Continuously optimize big data solutions on GCP / Azure / AWS to improve performance, scalability, and cost-efficiency.
  • Mandatory Skills

    Hadoop, Spark, Hive, GCP / Azure / AWS

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