Intern Big Data Platform Engineer
7 days ago
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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