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NewAstronomer

Solutions Engineer - Data Engineering (Hyderabad)

About this role: As a Solutions Engineer - Data Engineering, you will be part of the Global Services Delivery Team and will be involved in the delivery of the various use cases in which Airflow is implemented across our customers. Hybrid Work Model: For this role, you will embrace a flexible hybrid work model, working at least 3 days per week at our Office in Hyderabad. What You Bring To The Role: 3-5 years of data-engineering experience, ideally working with Apache Airflow in production environments. Experience creating DAGs, writing Python, and building Airflow custom operators and hooks. Excitement about implementing ETL/ELT pipelines, knowledge of applying Data transformations, optimizing and monitoring data pipelines.

Astronomer Hyderabad, Pakistan, Pakistan

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

bereiten sich vor

2450

Dauer

Permanent

Schwerpunkte

Apache AirflowPythonETL/ELTData Engineering

People Also Ask (FAQs)

What is the last date to apply for Solutions Engineer - Data Engineering (Hyderabad)?

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

How do I apply for Solutions Engineer - Data Engineering (Hyderabad)?

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 Astronomer 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 Solutions Engineer - Data Engineering (Hyderabad) 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: Apache Airflow, Python, ETL/ELT, Data Engineering.

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