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gen-digital

Lead Data Platform Engineer

gen-digital is hiring a Lead Data Platform Engineer to solidify the backbone of our financial data ecosystem in Pune. This role centers on designing, building, and maintaining scalable, high-performance data platforms that support critical Finance & Business Performance analytics. You will be responsible for architecting robust ETL/ELT pipelines, optimizing data warehousing solutions, and ensuring data governance across various sources. Key contributions include implementing real-time streaming capabilities and standardizing data models to enable reliable decision-making. Candidates must possess deep expertise in modern data stack technologies (e.g., Snowflake, Kafka, Spark) and have a strong background in complex relational and non-relational database management systems.

gen-digital Pune, IN, India

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

يتحضرون الآن

2500

مجموعة الأسئلة

180

المدة

Permanent

مجالات التركيز

Data EngineeringETL/ELTCloud ComputingSQL/NoSQL

People Also Ask (FAQs)

What is the last date to apply for Lead Data Platform Engineer?

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

How do I apply for Lead Data Platform 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 gen-digital 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 Lead Data Platform 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: Data Engineering, ETL/ELT, Cloud Computing, SQL/NoSQL.

بدء سريع

راجع ملخص الوظيفة ثم انتقل مباشرة إلى التحضير بنفس مسار بدء الاختبارات.

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