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lumin-digital

Data Conversion Engineer

lumin-digital is seeking a skilled Data Conversion Engineer to join our Professional Services team. This role is critical in ensuring the smooth and accurate transfer of client data into usable formats across various systems. Key responsibilities include designing robust ETL (Extract, Transform, Load) pipelines, writing complex SQL queries for data manipulation, and developing sophisticated data models that align with client business requirements. The ideal candidate must possess strong programming skills, particularly in Python or similar languages, coupled with expert knowledge of database management systems. You will collaborate closely with clients to understand their legacy data structures and implement scalable conversion solutions, making you a vital contributor to our delivery success and client satisfaction.

lumin-digital Remote - United States, United States

(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)

Preparing

2100

Question set

150

Duration

Permanent

Focus areas

Data ConversionETLSQLData ModelingPython

People Also Ask (FAQs)

What is the last date to apply for Data Conversion Engineer?

The closing date is listed in the official advertisement — apply as early as possible.

How do I apply for Data Conversion 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 lumin-digital 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 Conversion 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 Conversion, ETL, SQL, Data Modeling, Python.

Quick start

Review the job summary, then jump into prep with the same flow used for exam starts.

Prepare for this test

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