Data Architect

Compensation

: $88,940.00 - $130,620.00 /year *

Employment Type

: Full-Time

Industry

: Information Technology



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#INDIST

Job Title: Data Architect
Duration: Till Dec 2021
Location: Louisville, KY or Plano, TX or SAN ANTONIO

NTT DATA's Client is seeking a Data Architect with 10+ years of IT experience with 5+ as Data Engineer and 3+ as Data Architect
Designing custom UDFs using both Data frames/SQL/Data sets in Spark for Data Aggregation, queries and writing data back into OLTP system.
Experienced in handling large datasets using Partitions, Spark in Memory capabilities, Broadcasts in Spark, Effective & efficient Joins, Transformations and other during ingestion process itself.
Developed a PAN tokenizer in Java using Protegrity API to mask PAN data available in different file formats eg Fixed format files, variable record files etc.
Deep understanding of different encryption methodologies (symmetric/Asymmetric/tokenization/masking/Hashing).
Ability to understand/Create regular expressions.
Understand different transport protocols (FTP/SFTP/REST/SOAP/CSV/Batch Files).
Additional plus, knowledge of Front-end caching cookies
Experience in working with EDW, Data masking, Data migration kind of projects
Data model analysis of large databases with up to 1000 tables and Sensitive data analysis for larger and different Databases, Files.
Hands on experience with Scripting languages like python
Create subset plan and build subset queries for large databases more than 1000 tables
Exposure to Tools like Protegrity, Informatica
Nice to have
Implement tokenization and encryption solutions using various Protegrity protector components such as Application Protector, File Protector, Database Protector, Bigdata Protectors, etc.
Experience in Health Care Payer Domain
Experience Protegrity is added advantage
Understanding of payer domain business process and application (custom or packaged application) to support testing activity like enrolment, quote to card, claim processing and payment etc.

The Company is an equal opportunity employer and makes employment decisions on the basis of merit and business needs. The Company will consider all qualified applicants for employment without regard to race, color, religious creed, citizenship, national origin, ancestry, age, sex, sexual orientation, genetic information, physical or mental disability, veteran or marital status, or any other class protected by law. To comply with applicable laws ensuring equal employment opportunities to qualified individuals with a disability, the Company will make reasonable accommodations for the known physical or mental limitations of an otherwise qualified individual with a disability who is an applicant or an employee unless undue hardship to the Company would result.
Associated topics: data architect, data integration, data integrity, data manager, data scientist, data warehouse, database administrator, erp, mongo database administrator, sql * The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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