ADOBE is hiring Experienced candidates for Software Development Engineer role. The details of the job, requirements and other information given below:
ADOBE IS HIRING : SOFTWARE DEVELOPMENT ENGINEER
- Qualification : Bachelor’s degree or equivalent experience in Computer Science, Information Technology, or a related field.
- Proven experience in Python, Java, and Spark development.
- Proven understanding of REST APIs and their implementation.
- Proficiency in working with relational databases, particularly PostgreSQL and MySQL.
- Excellent problem-solving skills and attention to detail.
- Ability to work independently and as part of a team.
- Strong interpersonal skills and the ability to collaborate effectively.
- Location: Bangalore, Karnataka, India
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Interview Questions with Detailed Answers – Adobe
1. What are Adobe Analytics and AdCloud?
Answer:
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Adobe Analytics helps companies track and analyze how people use their websites and apps. It shows things like how many visitors they have and what actions those visitors take.
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AdCloud is a tool that manages digital advertising campaigns. It helps companies deliver the right ads to the right audience at the right time.
In this job, you’ll connect these two tools so data flows smoothly between them.
2. What are REST APIs?
Answer:
REST APIs (Representational State Transfer) are like bridges that allow two different systems to share information over the internet. They use simple HTTP methods (like GET, POST) to request or send data. In this job, you’ll use REST APIs to connect Adobe Analytics and AdCloud so they can “talk” to each other.
3. Why are PostgreSQL and MySQL used?
Answer:
Both are relational database systems where data is stored in tables with rows and columns.
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PostgreSQL is great for handling complex data and large workloads.
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MySQL is simple, fast, and commonly used for websites and apps.
You’ll use them to store, retrieve, and manage data for the integrations.
4. What is Apache Spark, and why is it useful here?
Answer:
Apache Spark is a big data processing tool. It helps you handle large amounts of data quickly. If Adobe Analytics or AdCloud sends big datasets, Spark helps process them faster than traditional systems.
5. How do you test your own code?
Answer:
First, I write small tests to check each function or module works correctly (unit testing). Then I run integration tests to check if the parts work together. I also check for performance issues (is it slow? using too much memory?). Finally, I monitor logs and fix any errors that come up.
6. Can you explain how you would design an API for integration?
Answer:
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First, I gather the requirements: What data needs to be shared? How often?
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I define the endpoints (URLs) and HTTP methods (GET, POST, PUT, DELETE).
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I choose data formats (JSON or XML) and security methods (like API keys).
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I write clear documentation so others can understand how to use the API.
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I test it to make sure it works and handles errors correctly.
7. What challenges might happen when integrating two systems, and how would you solve them?
Answer:
Challenges include:
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Data format mismatches (the two systems might use different formats) – I’d map and convert data formats.
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Authentication errors – I’d ensure secure API keys and proper authentication.
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Performance issues – I’d use caching, indexing, and load balancing to handle large data.
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Error handling – I’d build logs and alerts to track failures and fix them quickly.
8. How do you keep your code clean and maintainable?
Answer:
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I follow coding standards and use clear names for functions and variables.
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I write comments and documentation for tricky parts of the code.
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I split the code into small, easy-to-understand parts (modular code).
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I participate in code reviews to learn from others and improve.
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I use version control tools (like Git) to manage changes.
9. What’s your approach when working with a team to solve problems?
Answer:
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I listen carefully to others’ ideas and share my own thoughts.
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I break the problem into smaller tasks and assign them to the team.
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I stay positive and support my team members when challenges arise.
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I share regular updates and ask for feedback.
10. Can you give an example of a time you faced a tough technical problem and solved it?
Answer:
In a past project, I needed to integrate two systems where the data formats didn’t match, and the API kept failing. I analyzed the API logs, figured out the issue was with missing fields, and wrote a converter to adjust the data format. After testing, the integration worked smoothly, and the performance improved by 30%.
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