Sr Data Engineer Data Masking


Job Overview

5 to 7 experience as Business analysis Developed custom UDFs using both Data framesSQLData 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 e.g. Fixed format files, variable record files etc. Ability to understand different encryption methodologies (symmetric Asymmetric tokenization masking Hashing). Ability to understandCreate regular expressions. Understand different transport protocols (FTPSFTPRESTSOAPCSVBatch Files). Additional plus, knowledge of Front-end caching cookies Working with an Agile, Scrum methodology to ensure delivery of high-quality work with two week iteration Experience in working with EDW, Data masking, Data migration kind of projects Experience in writing SQL or PLSQL queries for various database 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.Sr Data Engineer Data Masking 1

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