Data Engineer(Proficient in SQL, Advanced Data Analysis, Data Modeling, Data Governance Principles,)

Req ID: 321342

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Data Engineer(Proficient in SQL, Advanced Data Analysis, Data Modeling, Data Governance Principles,) to join our team in New Delhi, Delhi (IN-DL), India (IN).

Loan IQ – Engineering needs

Position Data Engineer

EE Candidate preference Yes

Location 135 Rivonia Road, Sandton, Gauteng, South Africa.

Qualification/s & Certification/s NQF Level 6 Qualification in Computer Science or Information

Technology

Number of years’ experience 7 to 10 Years

What are the key/ critical tasks that the

candidate will be involved in on a regular

basis?

Loan IQ is by definition a complex lending solution, and the data aspect

is critical to not only the involved lenders/borrowers, but also the direct

business-users and a multitude of downstream users of the data, ranging

from operational staff, credit, finance, balance-sheet management,

funding and regulatory areas.

A deep understanding of the data-construct is essential as well as insight

on the interpretation thereof.

Furthermore, the business and domain squad aspire to develop and

mature digital offerings, straight-through processing capabilities and

optimise for processes.

An ability to make data an asset in these ventures will be critical.

Required Technical Knowledge as per profile ▪ Advanced SQL

▪ Advanced Data Analysis

▪ Database skills and understanding of DB tables relationships

▪ Data Modelling,

▪ Advanced Excel (including advanced function, pivot tables etc)

▪ Data Governance principles

▪ Understanding of ETL Processes

▪ Extensive skill in Data Analysis and Modelling

▪ Knowledge of, and experience in Loan IQ (we are on V7.7)

Required Exposure/Experience as per Profile 7 to 10 years practical development experience.

Who will the candidate be interacting with? Product Owner, Business Analysts, Senior Managers, Engineering

Lead, Software Engineers, Vendor, Technical Product Owner(s).

What Screening question/s would be most ideal

to identify the ideal candidate?

▪ How many years of experience do you have in SQL?

▪ Do you understand metadata?

▪ How proven are you in Complex SQL Queries and Optimisations?

What is the technology environment

requirements?

▪ Back-end on MSSQL (considering PostgreSQL in due course)

▪ Azure environment

▪ Abinitio / Connect Direct, Denodo, etc.

What are the team dynamics & size? Candidate will be working with a dedicated Domain Squad consisting

of business SME’s (4-5) as well as the GT technical squad (5-6)

What Would Get My Candidate Excited About

working for you?

Working in an environment with opportunity for skills growth and

participate in the landing of new capabilities with exposure to machine

learning and AI.

About NTT DATA

NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com

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