Data Engineer
We are seeking a skilled Data Engineer to join our growing Engineering team. This role is fundamental to the company's data infrastructure, responsible for designing, building, and optimizing robust, scalable Extract, Transform, Load (ETL) pipelines. Key responsibilities include managing large datasets across various sources, ensuring data quality, developing efficient database schemas, and supporting data governance initiatives. Proficiency in languages like Python and advanced SQL is mandatory. Experience with major cloud platforms (AWS/GCP/Azure) and big data technologies is highly desirable. The ideal candidate thrives in a fast-paced environment where data integrity directly fuels product innovation and operational excellence for the healthcare space.
(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)
Preparing
2900
Question set
180
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 talkiatry 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, SQL, Python, ETL Pipelines, Cloud Computing.
Quick start
Review the job summary, then jump into prep with the same flow used for exam starts.