Senior Quality Assurance Engineer, Data & Platform Engineering
LGAds is seeking a meticulous Senior Quality Assurance Engineer specializing in Data & Platform Engineering. You will be critical to maintaining the integrity and reliability of our core data pipelines and scalable platform infrastructure. Key responsibilities include designing comprehensive test strategies, executing complex end-to-end tests across various services (data ingestion, transformation, storage), and developing robust automation frameworks. The ideal candidate must possess deep expertise in SQL, Python scripting for testing validation, and advanced knowledge of cloud data technologies like AWS or GCP. This role requires a passion for quality that spans from the database schema to the final application output, ensuring our clients receive accurate and actionable reporting insights. Qualifications: Proven experience in QA/QC for large-scale data systems. Strong proficiency in writing complex SQL queries and scripting with Python (e.g., using Pandas or Pytest). Understanding of CI/CD pipelines and version control (Git) is a plus. You are committed to proactive bug detection and elevating testing standards.
(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)
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850
Fragensatz
250
Dauer
Permanent
Schwerpunkte
People Also Ask (FAQs)
What is the last date to apply for Senior Quality Assurance Engineer, Data & Platform Engineering?
The closing date is listed in the official advertisement — apply as early as possible.
How do I apply for Senior Quality Assurance Engineer, Data & Platform Engineering?
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 LGAds 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 Quality Assurance Engineer, Data & Platform Engineering 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: QA Engineering, Data Quality, Platform Testing, Python, SQL.
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