Senior Data Platform Engineer
gen-digital is seeking a skilled Senior Data Platform Engineer to join our Finance & Business Performance team in Chennai. This role is pivotal in designing, developing, and maintaining scalable, robust data pipelines that support critical business intelligence functions. Key responsibilities include architecting ETL/ELT processes using modern cloud technologies, ensuring data integrity across various sources, and optimizing database performance for high-volume analytics. The ideal candidate will have deep expertise in data warehousing solutions, proficiently coding in Python or Scala, and a strong understanding of financial domain requirements. You will work closely with finance stakeholders to translate complex business questions into actionable data models, thereby driving smarter decision-making across the organization. Strong problem-solving skills and experience with large datasets are essential for success in this role.
(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)
Preparing
1200
Question set
150
Duration
Permanent
Focus areas
People Also Ask (FAQs)
What is the last date to apply for Senior Data Platform Engineer?
The closing date is listed in the official advertisement — apply as early as possible.
How do I apply for Senior 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 Senior 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 Platform, ETL/ELT, Cloud Technologies, Databases, Python.
Quick start
Review the job summary, then jump into prep with the same flow used for exam starts.