Data Engineer
Nava Benefits is looking for a talented Data Engineer to join our growing Engineering team. You will be responsible for designing, building, and maintaining scalable data pipelines that ensure clean, reliable, and accessible data across the organization. Key responsibilities include optimizing data warehousing solutions, implementing robust data validation processes, and collaborating with data scientists and analysts to meet complex data needs. This role requires deep expertise in SQL, proficiency in Python, and hands-on experience with major cloud platforms (AWS or GCP). The ideal candidate thrives in a fast-paced, remote environment, possessing a strong understanding of data architecture best practices to drive informed business decisions company-wide.
(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)
Preparing
3050
Question set
250
Duration
Permanent
Focus areas
People Also Ask (FAQs)
What is the last date to apply for Data Engineer?
The closing date is listed in the official advertisement — apply as early as possible.
How do I apply for Data Engineer?
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 nava-benefits 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 Data Engineer 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: Data Engineering, ETL/ELT Pipelines, Cloud Computing (AWS/GCP), SQL, Python.
Quick start
Review the job summary, then jump into prep with the same flow used for exam starts.