Data Engineer
Anthropic is seeking highly skilled Data Engineers to play a critical role in building and maintaining our core data infrastructure. This position involves designing scalable ETL/ELT pipelines using modern cloud tools and programming languages (Python, SQL). Key responsibilities include optimizing database performance, ensuring data integrity across complex systems, and collaborating with ML teams to operationalize large datasets for advanced AI model training. The ideal candidate possesses deep experience in cloud environments (AWS/GCP) and strong proficiency in workflow orchestration tools like Airflow. This role is crucial for scaling Anthropic’s mission of developing safe and reliable AI.
(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)
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1200
Fragensatz
80
Dauer
Permanent
Schwerpunkte
People Also Ask (FAQs)
What is the last date to apply for Data Engineer?
The closing date is listed in the official advertisement — apply as early as possible.
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 anthropic 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: Python, SQL, Cloud Computing, Data Pipelines, Airflow.
Schnellstart
Sieh dir die Stellenzusammenfassung an und starte dann die Vorbereitung im gewohnten Prüfungsablauf.