Data Engineer - Security Job at NTT DATA (Karnātaka)

Senior AWS Data Engineer / Data Platform Engineer

We are seeking a highly experienced Senior AWS Data Engineer to design, build, a...

Location

United Arab Emirates , Dubai

Salary:

Not provided

NorthBay

Expiration Date

Until further notice

Requirements

8+ years of experience in data engineering and data platform development
Strong hands-on experience with: AWS Glue
Amazon EMR (Spark)
AWS Lambda
Apache Airflow (MWAA)
Amazon EC2
Amazon CloudWatch
Amazon Redshift
Amazon DynamoDB
AWS DataZone

Job Responsibility

Design, develop, and optimize scalable data pipelines using AWS native services
Lead the implementation of batch and near-real-time data processing solutions
Architect and manage data ingestion, transformation, and storage layers
Build and maintain ETL/ELT workflows using AWS Glue and Apache Spark on EMR
Orchestrate complex data workflows using Apache Airflow (MWAA)
Develop and manage serverless data processing using AWS Lambda
Design and optimize data warehouses using Amazon Redshift
Implement and manage NoSQL data models using Amazon DynamoDB
Utilize AWS DataZone for data governance, cataloging, and access management
Monitor, log, and troubleshoot data pipelines using Amazon CloudWatch

Fulltime

New

Senior Data Security Engineer

I’m working directly with the CISO of a global organisation at the forefront of ...

Location

Switzerland , Geneva

Salary:

Not provided

Iceberg Cyber Security

Expiration Date

Until further notice

Requirements

Strong hands-on experience with Data Loss Prevention (DLP) technologies in enterprise environments
Strong experience with Microsoft Purview, including DLP, Information Protection and Sensitivity Labels
Experience implementing data classification, labelling and information protection frameworks
Experience securing Microsoft 365 and Azure environments
Experience investigating data leakage incidents and security events
Experience configuring, tuning and improving DLP controls and policies
Ability to translate business and regulatory requirements into practical technical controls
Strong understanding of data governance, access controls and information security principles

Job Responsibility

Take ownership of key data protection capabilities across the organisation, helping ensure sensitive information is identified, classified, protected and monitored throughout its lifecycle
Work closely with technical and business stakeholders to design, implement and continuously improve controls that reduce risk while enabling the business to operate effectively
Implement and optimise controls across Microsoft 365, Azure, endpoints, email and cloud platforms
Support investigations, improve detection capabilities and enhance the overall maturity of the organisation’s data protection programme

Principal Automation Engineer (Data Security & Identity)

The Cortex Cloud Data Security Posture Management (DSPM) product is responsible ...

Location

Israel , Tel Aviv

Salary:

Not provided

Palo Alto Networks Italia

Expiration Date

Until further notice

Requirements

7+ years of experience QA automation developer
Experience in one of the following languages – Python (Must)
Experience with API testing
Experience with cloud–native technologies like DB, Bucket, SQL, GSUITE (SaaS products)
Experience with designing, developing, and implementing test/applicative frameworks from scratch
Deeply passionate about product quality with a mindset focused on continuous improvement
Experience with Gitlab/Jenkins (Advantage)

Job Responsibility

Create detailed and well–structured test plans based on requirements and features crew meetings
Design and writing the infrastructure for regression / progression tests
Develop and execute efficient and stable automated tests
Identifying, reporting, documenting and tracking defect/bug issues
Work closely with our engineering teams to understand business requirements
Excellent verbal and written communication skills
Strong focus on customer satisfaction

Security Data Engineer

We are looking for a Security Data Engineer to join our team in Costa Mesa, Cali...

Location

United States , Costa Mesa

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Experience building and supporting data pipelines in a data lake or large-scale data engineering environment
Strong programming skills in Python and hands-on experience with Apache Spark, Apache Hadoop, Apache Kafka, and ETL development
Practical knowledge of Amazon Web Services (AWS) and infrastructure automation tools such as AWS CDK and Infrastructure as Code frameworks
Experience maintaining pipeline reliability, troubleshooting ingestion issues, and improving operational stability in production environments
Ability to work directly with internal stakeholders to locate source data, obtain access, and move integrations forward
Familiarity with data analysis and data cleaning techniques that improve downstream usability and trust in datasets
Exposure to CI/CD practices and deployment automation for data engineering workflows
Additional programming experience in Rust or Go is preferred

Job Responsibility

Take ownership of the data ingestion layer for an existing data lake, ensuring steady performance and dependable delivery of incoming datasets
Reduce a defined backlog of pipeline work during the first 90 days by building and activating prioritized ingestion workflows
Assume responsibility for pipeline components transitioned from the lead engineer and continue their operational support without disrupting established foundations
Support and improve current ETL processes by monitoring health, resolving failures, and extending coverage where needed
Integrate new source systems, including platforms such as Rippling and Workday, into the broader data ecosystem
Coordinate with internal application and system owners to identify data sources, secure appropriate access, and obtain logs or source records required for ingestion
Apply data cleaning and analysis practices to improve data quality and maintain consistency across inbound datasets
Contribute to infrastructure and deployment workflows using AWS, AWS CDK, Infrastructure as Code, and CI/CD practices to support scalable pipeline operations

What we offer

Medical, vision, dental, and life and disability insurance
Eligibility to enroll in company 401(k) plan
Free online training

Data Security Engineer

Whitehall Resources currently require an experienced Data Security Engineer to w...

Location

United Kingdom , Warwick

Salary:

Not provided

Whitehall Resources Ltd

Expiration Date

Until further notice

Requirements

Proven experience in Cybersecurity, Computer Science, or related field
Experience in data protection, encryption, and security frameworks
Proficiency in firewalls, SIEM tools, and intrusion detection systems
Certifications such as CISSP, CISM, or CEH preferred
Strong analytical, problem-solving, and communication skills.

Job Responsibility

Develop and implement data security policies to protect sensitive information
Conduct risk assessments and vulnerability testing to identify security gaps
Design and maintain encryption, access control, and authentication systems
Monitor network activity for potential security breaches and respond to incidents
Collaborate with IT teams to integrate security solutions into infrastructure
Ensure compliance with industry regulations such as GDPR, HIPAA, and ISO 27001
Stay updated on emerging cybersecurity threats and best practices.

Lead Data Security Engineer

Our client is seeking a Lead Data Security Engineer to drive enterprise-wide dat...

Location

United States , Johns Creek

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

5-6+ years of experience in data security or information security roles
Strong hands-on experience with Microsoft Purview, including DLP, data labeling, and eDiscovery
Deep experience with CASB solutions (Zscaler preferred)
Strong understanding of the data governance lifecycle
Experience with DLP platforms, data classification tools, and threat hunting tools
Knowledge of encryption and key management practices
Experience securing cloud platforms and hybrid environments
Proven ability to lead enterprise security initiatives and investigations

Job Responsibility

Lead enterprise data protection initiatives, including DLP and CASB strategy design and implementation
Architect data discovery, classification, labeling, and protection programs across cloud and on-prem environments
Lead DLP investigations and remediation efforts related to data loss and exfiltration risks
Support compliance initiatives and regulatory requirements
Integrate data protection telemetry into detection and monitoring platforms
Drive threat hunting efforts focused on data exfiltration and misuse
Evaluate and recommend security tools and vendors
Provide technical leadership and mentorship to security team members
Partner with cross-functional teams and executive stakeholders

What we offer

Medical, vision, dental, and life and disability insurance
401(k) plan

Fulltime

Principal Security Data Engineer

Partner with Cybersecurity leaders, risk stakeholders, and non-Cyber teams to de...

Location

United States , Springfield; New York City

Salary:

Not provided

Tier4 Group

Expiration Date

Until further notice

Requirements

Bachelor s degree in a relevant field (e.g., Computer Science, Data Engineering, Analytics, Information Security, or equivalent experience)
8+ years of experience working in Cybersecurity, risk, or technology domains, with deep hands-on experience in data engineering, analytics, or data architecture
Demonstrated experience designing and building data pipelines, data models, and analytics architectures, including batch and/or streaming patterns
Practical experience partnering with or working on modern data platforms and tools such as Databricks, Redshift, Snowflake, Alteryx, or equivalent technologies
Working knowledge of Cybersecurity domains, including data privacy, data protection, and core security concepts (e.g., vulnerabilities, threats, controls, risk)
Strong coding proficiency (e.g., Python, SQL) with the ability to assess multiple data sources and determine feasibility, data gaps, and engineering approaches to support Cyber use cases
Experience collaborating closely with data engineering, platform, and architecture teams to ensure long-term operability and support

Job Responsibility

Partner with Cybersecurity leaders, risk stakeholders, and non-Cyber teams to define and deliver data-driven Cyber use cases, aligned to enterprise risk priorities and frameworks (e.g., NIST CSF)
Leverage scalable data pipelines, models, and architectures that enable Cyber analytics, AI, reporting, and advanced use cases across vulnerability management, threat exposure, control effectiveness, and risk insights
Work directly with data owners and platform teams to ingest, transform, normalize, and model security and IT datasets, ensuring data quality, lineage, and trust
Develop and operationalize analytics products including executive dashboards, strategic metrics, and operational reporting for leadership, governance forums, and front-line Cyber teams
Prototype and productionize integrations across Cyber tools and enterprise data platforms, partnering closely with data engineering and architecture teams to ensure sustainability, performance, and supportability
Apply advanced analytics, data modeling, and automation techniques to translate raw Cyber telemetry into actionable outcomes, risk indicators, and decision support
Leverage AI-assisted development and analytics workflows (e.g., Claude, code-generation tools, AI-augmented analysis) to accelerate engineering, insight generation, and experimentation while operating within established security and data governance controls
Translate complex technical findings into clear, consumable narratives for executive and non-technical stakeholders, connecting analytics outputs directly to Cyber risk, business impact, and outcomes
Serve as a thought partner and technical advisor, helping shape the Cyber data strategy, architecture direction, and future-state analytics capabilities

Data Engineer - Security (Kafka Experience)

The Data Engineer - Security role focuses on designing and operating large-scale...

Location

India , Remote

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Kafka-Strong expertise in Kafka (4-5 years), with hands-on experience designing and operating large-scale, highly available event-streaming platforms, including partitioning strategies, consumer group optimization, schema management, and performance tuning
API-first data ingestion. Strong hands-on pulling data from REST/GraphQL APIs with auth (OAuth2, API keys), pagination, rate limits, retries/backoff, and webhooks
strong Python skills to normalize/enrich data and land it cleanly into S3 (schema, partitioning, Parquet)
AWS data lake, end to end. Comfortable building/operating S3-based lakes with layered zones (raw → harmonized → conformed → modeled), Glue Data Catalog, IAM/Secrets Manager, VPC endpoints, encryption, lifecycle/versioning, and cost/perf best practices (file sizing, compaction)
AWS Glue + PySpark expert. Designs and optimizes Glue jobs using PySpark/DynamicFrames, bookmarks for incremental loads, dependency packaging, robust error handling, logging/metrics, and unit tests
knows how to tune jobs for scale and cost
Airflow orchestration. Writes clean, parameterized, idempotent DAGs (sensors, SLAs, retries, alerts), manages dependencies across pipelines, and uses Git-based CI/CD to promote changes safely
Snowflake proficiency. Builds ELT models (staging/ODS/marts), tunes performance (warehouse sizing, clustering, micro-partitions, caching), uses Streams/Tasks/Snowpipe for CDC, and follows solid RBAC and data governance practices

Job Responsibility

Designing and operating large-scale event-streaming platforms using Kafka
API-first data ingestion
Building/operating S3-based lakes
Designing and optimizing Glue jobs using PySpark/DynamicFrames
Writing clean, parameterized, idempotent DAGs
Building ELT models in Snowflake

Fulltime

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Data Engineer - Security

Job Description

Requirements

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