Senior Data Engineer
Responsibilities: Design and develop scalable data ingestion and transformation pipelines integrating data from multiple source systems. Implement data cleansing, validation, and quality processes to ensure accurate, consistent, and reliable data. Build complex datasets and data models to support reporting, analytics, dashboards, and business decision-making. Requirements: At least 5 years of experience as an expert in Data Engineering and Analysis. Expertise in data ingestion, data processing and analytical pipelines for big data, relational databases, and data warehouse solutions. Expert level understanding on Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, and Azure App Service is required.
(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)
يتحضرون الآن
3100
المدة
Permanent
مجالات التركيز
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 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 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: Azure Data Factory, Azure Synapse, Python, SQL, Data Warehousing.
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