Barclays Off Campus Drive 2025 hiring Application Engineer Job, Pune

Apply for Barclays Off Campus Drive 2025! Hiring Application Engineer Job – PySpark Developer in Pune! Work on Hadoop ecosystems, PySpark, Hive, CI/CD, and big data engineering while building scalable, secure solutions for digital banking. Great role for engineers seeking impactful projects in a global fintech leader.

Candidates who are interested in Barclays Off Campus Drive Job Openings can go through the below to get more information.

Key Job details of Application Engineer jobs

Company: Barclays

Qualifications: BE/BTech

Experience Needed: 2–5 years

Job Req ID: JR-0000055827

Location: Pune

Selenium Automation Training

Start Date: 28th July 2025

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Job Description

Join us as a Application Engineer – PySpark Developer at Barclays, where you’ll take part in the evolution of our digital landscape, driving innovation and excellence. You’ll harness cutting-edge technology to revolutionize our digital offerings, ensuring unparalleled customer experiences. As a part of the team, you will deliver technology stack, using strong analytical and problem solving skills to understand the business requirements and deliver quality solutions. You’ll be working on complex technical problems that will involve detailed analytical skills and analysis. This will be done in conjunction with fellow engineers, business analysts and business stakeholders.

To be successful as Application Engineer – PySpark Developer you should have experience with:
Hands-on programming experience in a Big Data Hadoop ecosystem.
Proficiency in PySpark, Hive, and Impala.
Exposure to Mongo DB or any other NoSQL database.
Solid experience with Unix shell.
Experience with scheduling tools like AutoSys, airflow.
Strong understanding of Agile methodologies and tools (JIRA, Confluence).
Experience with CI/CD tools such as Jenkins, TeamCity, or GitLab.
Excellent communication and collaboration skills.
Ability to work independently and drive delivery with minimal supervision.

Some other highly valued skills include:
Bachelor’s degree in Computer Science, Engineering, or a related field.
Relevant certifications in Big Data or cloud technologies are a plus.
You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.

Purpose of the role

To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues.

Accountabilities

Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance.
Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.
Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.
Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth.
Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.
Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.

Apply Now for Barclays Application Engineer Jobs

How to Apply Barclays Off Campus Drive 2025

Click on Apply to Official Link Barclays Above – You will go to the Company Official site
First of all Check, Experience Needed, Description and Skills Required Carefully.
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Interview Questions

Technical:

  • Explain how PySpark differs from Apache Spark.
  • Use cases of Hive vs. Impala.
  • Describe your experience with CI/CD pipelines.
  • How do you optimize PySpark jobs for performance?
  • How would you debug a failed Hadoop job?

Scenario:

  • A PySpark job is taking longer than expected. How will you identify bottlenecks?
  • How would you handle a failed Airflow DAG impacting critical pipelines?

Behavioral:

  • Describe a complex data pipeline you delivered.
  • How do you stay updated on Big Data technologies?
  • Why Barclays?

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