Infrastructure Engineering - Hadoop

JPMorganChase

Hyderabad

On-site

INR 1,000,000 - 1,500,000

Full time

14 days+

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Job summary

A leading global financial institution is seeking an Infrastructure Engineer III in Hyderabad. This role involves improving systems, managing Hadoop platforms, and collaborating with teams to deliver innovative solutions. Candidates should have a Bachelor's degree in Computer Science or Engineering and at least 3 years of experience in Infrastructure Engineering. The position offers a dynamic work environment focused on technology and team culture.

Qualifications

  • 3+ years of applied experience in Infrastructure Engineering.
  • Hands-on with streaming data applications.
  • Experience with cloud platforms.

Responsibilities

  • Improve data and systems running at scale.
  • Drive daily activities supporting standard capacity process applications.
  • Partner with teams to mitigate potential capacity risks.

Skills

Hadoop data platform experience
Strong critical thinking
Communication skills
Teamwork skills
Linux systems familiarity

Education

Bachelor's degree in Computer Science or Engineering

Tools

Hadoop distributions management
Java
Python
Scala

Job description

Join to apply for the Infrastructure Engineering - Hadoop role at JPMorganChase

Join to apply for the Infrastructure Engineering - Hadoop role at JPMorganChase

Job Description

You belong to the top echelon of talent in your field. At one of the world’s most iconic financial institutions, where infrastructure is of paramount importance, you can play a pivotal role.

Job Description

You belong to the top echelon of talent in your field. At one of the world’s most iconic financial institutions, where infrastructure is of paramount importance, you can play a pivotal role.

As an Infrastructure Engineer III at JPMorgan Chase within the Chief Technology Office team, you utilize strong knowledge of software, applications, and technical processes within the infrastructure engineering discipline. Apply your technical knowledge and problem-solving methodologies across multiple applications of moderate scope.

Job Responsibilities

  • Applies technical knowledge and problem-solving methodologies to projects of moderate scope, with a focus on improving the data and systems running at scale, and ensures end to end monitoring of applications
  • Resolves most nuances and determines appropriate escalation path
  • Executes conventional approaches to build or break down technical problems
  • Drives the daily activities supporting the standard capacity process applications
  • Partners with application and infrastructure teams to identify potential capacity risks and govern remediation statuses
  • Considers upstream/downstream data and systems or technical implications
  • Be accountable for making significant decisions for a project consisting of multiple technologies and applications
  • Adds to team culture of diversity, equity, inclusion, and respect.

Required Qualifications, Capabilities, And Skills

  • Formal training or certification on Infrastructure Engineering concepts and 3+ years applied experience
  • Hands on streaming data applications with data pipeline open source products, and experience in Hadoop data platform; strong critical thinking, communication, and teamwork skills are essential
  • Collaborate with line of business users and technology teams to design, develop, and test full stack cloud data solutions.
  • Lead and ensure the craftsmanship, security, availability, resilience, and scalability of solutions.
  • Drive Innovation, conduct proof of concept, and implement cutting-edge technologies.
  • Serve as an expert practitioner in one or more technology domains, solving complex and mission-critical problems.
  • Design, analyze, develop, test, debug, and deliver software enhancements and new products.

Preferred Qualifications, Capabilities, And Skills

  • Bachelor's degree in Computer Science or Engineering.
  • Familiar with Linux systems.
  • Hadoop administration experience.
  • Proficient in managing Hadoop distributions (e.g., Hortonworks, Cloudera) and performance tuning.
  • Experience with Java, Python, and Scala.
  • Experience working with cloud platforms.
  • Ability to collaborate with high-performing teams and individuals to accomplish common goals in cross-functional teams.

ABOUT US

Seniority level
  • Seniority level
    Not Applicable
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Information Technology

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