• Data Engineer

Industry IT
Location Karnataka Bangalore
Experience Range 5 - 8 Years
Qualification (B.Tech)
Not active

Functional Any
Job Description
About Us
“Quess IT Staffing is India’s largest IT staffing company with over 20 years of experience in staffing IT professionals in 300+ companies across levels and skillsets. Our 10,000+ associates deployed in 80+ cities and towns are proficient in over 500 technological skills. Our associates help enable cutting edge solutions some of the biggest names across industried. Quess IT Staffing is a division of Quess Corp Limited, India’s leading business services provider and largest domestic private sector employer. Quess Corp Limited is - ‘A Great Place to Work’ certified – a testament to our excellent culture, people, and processes.”
About Company
https://itstaffing.quesscorp.com/
Roles and Responsibility

·         5-8 years of solid experience dealing with Technically fluent in Writing / Debugging scripts, ETL

·         tools, IDQ, Governance frameworks (preferred Collibra, Informatica, Alation, BigID, Boomi)

·         Manage data life cycle across assigned data domain/domains (Define, Analyze, Capture,

·         Transmit, Consume)

·         Strengthen policies, standards, and context for all metadata within the eco-system to ensuring

·         source of data, definition, quality standard, certification, risk classification, ownership, and

·         data linage relating back to business glossary if appropriate

·         5-8 years of Strong experience with developing and implementing data standards,

·         guaranteeing metadata is captured correctly, and creating methods for monitoring and

·         reporting any data incidents. Dell - Internal Use - Confidential

·         Internal Use – Confidential

·         Mindset to think differently; alignment to Industry standards; awareness of emerging

·         technologies and industry trends

 

Desirable Requirements:

·         Bachelor of Engineering or Master of Computer Applications

·         Experience in working in Agile (SCRUM) Methodology

·         Excellent analytical and problem-solving skills is a must have

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