Senior Data Engineer
codat is excited to offer a fully remote opportunity for a highly skilled Senior Data Engineer. You will be instrumental in scaling our data infrastructure from the ground up, ensuring that all business units have access to clean, reliable, and high-quality data. Key responsibilities include developing scalable ETL/ELT pipelines using industry best practices, optimizing database performance across various cloud platforms, and mentoring junior engineers on complex data modeling techniques. Proficiency in Python is mandatory for scripting and automation. The ideal candidate thrives in an autonomous, remote setting and has previous experience working with large-scale transaction data. You will collaborate closely with product managers and analytics teams to ensure the data architecture directly supports business growth initiatives. This role demands both technical mastery and strong organizational skills to deliver exceptional results without physical proximity.
(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)
Preparing
2100
Question set
180
Duration
Permanent
Focus areas
People Also Ask (FAQs)
What is the last date to apply for Senior Data Engineer?
The closing date is listed in the official advertisement — apply as early as possible.
How do I apply for Senior 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 codat 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 Senior 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, SQL, Python, Cloud Architecture.
Quick start
Review the job summary, then jump into prep with the same flow used for exam starts.