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