FAQs
What is the work schedule for this position?
The position requires a full-time work schedule, defined as working at least 40 hours per week, plus any additional hours as requested or needed to meet business requirements.
What qualifications are required for the Senior Data Engineer role?
The role requires 8 years of Data Engineering experience and 6 years of experience in computer programming, query design, and databases, along with a Bachelor's degree.
Where is this position located?
This position is located in Phoenix, AZ.
What type of work will the Senior Data Engineer be responsible for?
The Senior Data Engineer will be responsible for architecting, designing, constructing, testing, tuning, deploying, and supporting Data Integration solutions for various data management systems.
Are there opportunities for professional growth within NTT DATA?
Yes, NTT DATA is committed to helping employees grow both professionally and personally.
Does NTT DATA offer benefits for this position?
Yes, this position is eligible for company benefits that may include medical, dental, and vision insurance, flexible spending or health savings account, life and AD&D insurance, short- and long-term disability coverage, paid time off, employee assistance, and participation in a 401k program with company match.
Is NTT DATA an equal opportunity employer?
Yes, NTT DATA is an equal opportunity employer and considers all applicants without regard to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law.
What types of technologies will the Senior Data Engineer work with?
The Senior Data Engineer will work with SQL Server technologies, including enterprise database clustering, mirroring, and replication, as well as emerging Data Integration technologies and tools.
How does NTT DATA ensure data quality?
NTT DATA emphasizes the establishment and reinforcement of disciplined software development processes, standards, and error recovery procedures to ensure a high degree of data quality.