Software Engineer, Search Systems - Code Data
Join the Engineering team and play a pivotal role in developing and maintaining mercor's core search systems. As a Software Engineer, Search Systems - Code Data, you will be responsible for designing robust, scalable data pipelines that process massive volumes of code data. Your mission involves taking raw source code inputs and transforming them into highly optimized indices crucial for efficient searching and retrieval. Key responsibilities include implementing complex ETL processes, collaborating with machine learning engineers to improve search algorithms, and ensuring the stability and performance of data ingestion services. Candidates should possess deep knowledge of backend technologies (e.g., Python, Java), experience with distributed databases like Cassandra or HBase, and a strong understanding of large-scale data architecture. This role is ideal for highly motivated engineers passionate about information retrieval and complex system design.
(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)
Preparing
1500
Question set
250
Duration
Permanent
Focus areas
People Also Ask (FAQs)
What is the last date to apply for Software Engineer, Search Systems - Code Data?
The closing date is listed in the official advertisement — apply as early as possible.
How do I apply for Software Engineer, Search Systems - Code Data?
Use the official apply link on this page to submit your application. A step-by-step how-to-apply guide for this job is also linked below.
Is there negative marking in the mercor test?
The marking rule is announced per test in the advertisement and roll-number-slip instructions. Many MCQ screening tests have no negative marking, but always verify it for your specific test.
What is the passing marks for this test?
The official passing marks are generally 50%, but merit is competitive — scoring above 75% is a safer target to secure an interview call.
How can I prepare for the Software Engineer, Search Systems - Code Data test?
Prepare with the free subject-wise MCQs, past papers and timed mock tests on PrepPro Academy — every question includes the answer with an explanation. Focus areas: Search Systems, Code Data Pipelines, Backend Development, Data Engineering, Distributed Systems.
Quick start
Review the job summary, then jump into prep with the same flow used for exam starts.