Intern Big Data Platform Engineer

7 days ago


Reston, Virginia, United States Eviden Full time

Position: Big Data Platform Engineer

Education (formal subjects in school) in cyber security

Preferred Skills

  • Good knowledge of cybersecurity principles, tools and devices, and a real passion for a career in cyber security.
  • Insanely curious, analytical, and loves solving problems.
  • Demonstrate leadership and adaptability, with willingness to take ownership of any given task or project.
  • Ability to understand and assimilate different points of view, manage time, and prioritize work based on project needs and deadlines.
  • Professional oral and written communication skills and ability to collaborate with a team.
  • Basic Knowledge of
  • Big Data tools and frameworks for example: Hadoop, Kafka, Spark, Map Reduce, Hive and Impala
  • At least one Cloud service provider (Azure preferred)
  • Network technologies (firewall, proxy, DNS, NetFlow)
  • Active Directory
  • Windows/Linux operating systems
  • Network communications and routing protocols (e.g., TCP, UDP, ICMP, BGP, MPLS, etc.)
  • Common internet applications and standards (e.g., SMTP, DNS, DHCP, SQL, HTTP, HTTPS, etc.).
  • Self-motivated, able to work remotely and prioritize workload.
  • Proficiency in Microsoft Office applications (Excel, Word, PowerPoint, etc.)

Nice to have

  • Prior usage of Kubernetes
  • Linux proficiency
  • Scripting
  • Ansible
  • Relevant Certifications: Azure or AWS certifications

Key Responsibilities

  • You will support the creation, maintenance, and optimization of Big Data Hadoop systems and analytics repositories.
  • You will get to work closely with Big Data system/software designers, operators, and engineering for platform R&D who support and handle high load production systems.
  • Your role will require you to assist with software installation, hardware integration, system testing and perform relevant upgrades and repairs to Big Data environment.
  • Perform key Linux configuration per Platform engineering requirements.
  • Coordinate with Senior Engineers to design and build data pipeline frameworks to automate high-volume and real-time data delivery for on-premises and/or cloud platforms, leveraging technologies such as Kafka, Apache Spark, Python, and Azure-based solutions.
  • Ability to use open-source tools such as Hive, NiFi, Druid, Java, Pig, etc.

Schedule: Rotational Shifts 24x7 [these shifts can be morning, evening, or night, and can be rotational]

  • Hourly Wage - $20
  • Estimated start date and length of internship - Immediate. 1 Year internship, with a roadmap to be absorbed as a Full Time Employee.
  • Should the student provide a cover letter and a resume? - Yes
  • How many hours per week? - 28 hours/week - 30 hours

location is Reston, Virginia


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