Data Engineer
Detailed reviewing and analyzing structured, semi-structured and unstructured data sources for quality, completeness and business value. Design, architect, implement and test rapid prototypes that demonstrate value of the data and present them to diverse audiences. Responsible for implementing robust data pipeline using Microsoft, Databricks Stack. Requirements: Advanced working knowledge and experience with relational and non-relational databases. Experience building and optimizing Azure Data data pipelines, architectures and data sets. Strong analytic skills related to working with unstructured datasets. Strong experience in Azure Data factory, Databricks, Eventhub, Python, PySpark, Azure Synapse and SQL, Azure DevOps. Minimum 4-6 years of experience.
(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)
Preparing
1890
Duration
Permanent
Focus areas
People Also Ask (FAQs)
What is the last date to apply for Data Engineer?
The official closing date is 2026-12-11. Apply early to avoid the last-day portal rush.
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 techcarrot 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: Azure Data Factory, Databricks, Python, PySpark, Azure Synapse, SQL, Azure DevOps.
Quick start
Review the job summary, then jump into prep with the same flow used for exam starts.