At AT&T, we’re connecting the world through the latest tech, top-of-the-line communications and the best in entertainment. Our groundbreaking digital solutions provide intuitive and integrated experiences for millions of customers across online, retail and care channels. Join our mission to deliver compelling communication and entertainment experiences to customers around the world as we continue to evolve as a technology-powered, human-centered organization. As part of our team, you’ll transform the way we deliver a seamless customer experience with digital at the center of all you do. In our world, digital is much larger than just an eCommerce channel, we are transforming all channels to digitally perform as one team to create a better customer experience. As we move into 2024, the digital transformation will revolutionize the digital space and you can build a career that will propel your future.
About the Role:
The Data security engineering & development expert in this role will deploy, manage, and operate solutions focused on data discovery, data classification, and remediation.
•Data Security Posture Management, Data Security Platforms, and EDRM technologies
•Deploy premises-based data security POC (Cyera)
•Data encryption, masking, and tokenization
•Data lineage and integration with Chief Data Office data inventory systems
•Protection of data in motion, in use, and at rest
Roles & Responsibilities based on scope of work:
Perform data-centric subscriptions and applications’ onboarding and scanning using DSPM and other related tools and technologies.
Maintain responsibility for the day-to-day operations of data discovery and classification technology platforms and remote scanners.
Operate as a technical subject matter expert in DSPM, Data Protection, Governance, and Privacy.
Configure docker containers, Kubernetes, and Azure Kubernetes services.
Create and manage API connections and rulesets, including powering key integrations between platforms.
Work with service providers of platform(s) to upgrade new versions.
Create documentation for requirements, engineering drawings and diagrams, and operational installation (runbooks) to deliver infrastructure services for projects.
Work with data analysts to capture enterprise project requirements and identify the infrastructure services required.
Support internal client engagements from planning/assessing, technical implementations, and managed operations.
Research and document new modules/capabilities and identify potential use cases.
Document infrastructure environments in coordination with other infrastructure and application teams to ensure the system is secure, highly available, and scalable.
Execute project delivery as noted in individual SoWs, leading workstreams and consistently delivering quality services.
Assist the CSO Data Security team with developing technical requirements, evaluating vendor solutions, developing architecture & design, and testing of data protection and data security solutions.
Responsible for the management, advanced configuration, and fine-tuning of various data protection technologies.
Troubleshoot application-based performance issues or outages of technologies.
Stay current on industry trends around cyber risk and data protection practices.
Perform other duties as assigned (Pursuits, Training, Thought-Leadership Development)
Required Skills :
A minimum of 12 years working in data protection and security engineering support experience
Previous experience and knowledge of Data Protection technologies such as BigID, Collibra, Microsoft Purview, Netskope, ZScaler, Symantec/Broadcom, Forcepoint, McAfee
Must have hands-on experience in docker containers, Kubernetes, and Azure Kubernetes services administration.
Advanced knowledge of system security architecture and security solutions.
2-3 years’ experience with DSPM platform administration including scanner deployments and building scan profiles.
5-7 years’ experience as a Kubernetes administrator with the knowledge to deploy and manage cloud-native applications in Kubernetes environments.
Experience creating and managing API connections and rulesets, including powering key integrations between platforms.
Collibra, Netskope, BigID, Microsoft Purview, Wiz, or Zscaler experience is essential
Bachelors / master's in computer science or information technology engineering.
Desired Skills :
Industry-standard certifications such as Security+, Network+, CISSP, CIPP, CIPM, and CISA
Vendor certifications from leading DLP, DSPM, CSPM, CNAPP, and CSG technologies
Knowledge of automated data discovery, classification, and inventory.
Familiarity with data labeling, attributes, tagging of structured/semi-structured/unstructured data.
Knowledge of PCI-DSS.
Experience with ETL tools.
Knowledge of data de-identification techniques such as masking, tokenization, and encryption.
Knowledge of symmetric/asymmetric encryption.
Knowledge of common cryptographic libraries.
Knowledge of Database Activity Monitoring solutions.
Knowledge of Database Security Vulnerability Management.
Knowledge of AI/ML and usage potential in data security.
Database Administrator skills such as SQL queries, stored procedures, installation, provisioning, access, design, schemas.
Flexible to provide coverage in US morning hours on a need-basis, and as required
Strong written, verbal and presentation skills
Experience working in an environment where coordination with multiple teams is essential to success
Ability to prioritize individual/group work in a high-stress and time-bound environment
#Naukri
Weekly Hours:
40
Time Type:
Regular
Location:
Bangalore, Karnataka, India
It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities.
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