דרושים Cyber - Sdc Data Engineering/siem Lead ב-Ey ב-United States, New York

Your key responsibilities

You will be part of diverse teams of professionals across different geographies to deliver a wide range of data and analytics services. You will be solving complex issues and driving growth across financial services.

Skills and attributes for success

• Fostering an innovative and inclusive team-oriented work environment
• Working in diverse teams of professionals with different backgrounds
• Demonstrating in-depth technical capabilities and professional knowledge
• Contributing to thought leadership through white papers, point of views, and proof of concepts
• Working in an entrepreneurial environment to pave your own career path
• Ability to meet deadlines, own deliverables and contribute to project delivery

To qualify for the role, you must have

• Undergraduate or Master’s degree in a quantitative field (e.g. engineering, computer science, business, economics, finance, statistics, and/or analytics).
• At least 2 to 5 years of related work experience in banking, capital markets, insurance, or asset management domain
• Good communication (verbal and written) with the ability to effectively advocate technical solutions and results to technology and business audiences
• Experience working independently, efficiently, and effectively under extreme time constraints and delivering results by critical deadlines
• Strong analytical and problem-solving skills
• Experience with client-facing activities such as requirements gathering, facilitating meetings, presentation creation, and ability to prepare client ready deliverables
• Proven track record of consistently meeting deadlines, and provide reporting and business recommendations in a dynamic environment
• Good leadership and teaming skills
• Strong organizational and time-management skills
• Ability to integrate new knowledge and adapt to change with a natural curiosity and desire to learn
• A willingness and ability to travel to meet client needs; travel is estimated at 60%
• Valid Passport

DAE Specific

• Ability to understand business challenges and address remediations through data architecture and engineering solutions.
• Must have practical experience assisting clients with development of one or more of strategic Data Architecture and Engineering, Cloud Data Modernization, Data migration and Event-driven architecture, preferably focused on financial services.
• Experience development of large data platforms, data warehouses and data lakes, streaming applications, data ingestion, integration, and distribution pipelines.
• Practical experience using latest technologies for data ingestion, integration, transformation, storage, mining/warehousing, big data analytics, and visualization.
• Understanding of traditional data architecture practices (data warehousing, datahub, MDM, ODS etc.) as well transition to Next-Gen platform architectures such as distributed data lake and Data mesh on cloud, etc.
• Practitioner experience in multiple data technologies such as:
• Cloud Data Platforms (AWS, Azure, Google Platform, Databricks, Snowflake)
• Big Data applications and Distributed Processing (Hadoop and Spark ecosystem components)
• Data integration Tools (Informatica, Talend, etc.)
• Experience with scripting languages: Python, Java, C++, Scala, etc.
• Traditional RDBMS (Teradata, Netezza, MS SQL Server, Oracle, MySQL, PostgreSQL)
• MPP (Snowflake, BigQuery, AWS Redshift etc.)
• NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan, Elasticsearch)
• Streaming Platform and Applications (Spark streaming, Kafka, Storm, etc.)
• Experience with data pipeline and workflow management tools (Airflow, etc.)
• Dev Ops (GitHub, Kubernetes Jenkins, Terraform)
• Data Modeling (Data vault, Star, Snowflake)

Ideally, you’ll also have

• Master’s degree in Business Administration (MBA) or Science (MS) preferred
• Prior consulting experience

What we offer you

Job Summary:

MDM Hub).

This role involves architecting and developing MDM solutions, managing data quality, and ensuring data governance practices across the enterprise.

Key Responsibilities:

• Design, develop, and implement end-to-end MDM solutions using Informatica MDM platform.
• Configure Data Models, Match & Merge rules, Hierarchies, Trust Framework , and workflows.
• Collaborate with business stakeholders, data architects, and developers to gather and analyse requirements.
• Perform data profiling, cleansing, standardization, and validation for master data domains.
• Implement data governance and stewardship workflows for maintaining data quality.
• Monitor MDM performance, manage error handling and system tuning.
• Prepare and maintain technical documentation, deployment guides , and support materials.
• Provide technical support and troubleshooting during and post-deployment.
• Stay up to date with Informatica MDM product updates, industry trends, and best practices.

Required Qualifications:

• 3-7 years of experience in Informatica MDM development and implementation .
• Strong understanding of MDM architecture, data modelling, and metadata management .
• Hands-on experience with Informatica MDM Hub, e360, IDD, SIF, MDM Provisioning Tool , and ETL/ELT .
• Experience with data quality tools (Informatica DQ or others) and MDM integration patterns .
• Understanding of data governance principles and master data domains (customer, product, vendor, etc.).
• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder engagement skills.

Preferred Qualifications:

• Informatica MDM certification(s).
• Experience with IDMC MDM – MDM SaaS
• Familiarity with data governance platforms (e.g., Collibra, Informatica Axon).
• Exposure to Agile/Scrum delivery methodologies.
• Experience in large-scale MDM implementations in domains like Retail, Manufacturing, Healthcare, or BFSI.

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

AI/Machine Learning Engineer, Senior Consultant

Our Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients. As part of that, you'll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems, some of which have not been solved before. No two days will be the same, and with constant research and development, you'll find yourself building knowledge that can be applied across a wide range of projects now, and in the future. You'll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can expect heavy client interaction in a fast-paced environment and the opportunity to develop your own career path for your unique skills and ambitions.

As a Senior AI Native Engineer, you will be at the forefront of revolutionizing how businesses leverage artificial intelligence. Your role will involve researching, building, and implementing scalable AI systems that learn and make predictions tailored to diverse business environments, whether in the cloud or on-premises. You will enhance data pipelines to ensure data integrity and optimize learning processes, all while collaborating with a talented team of data and analytics professionals.

Your key responsibilities

In this role, you will contribute significantly to the delivery of innovative AI solutions. You will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering. We'll look to you to provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients.

You will spend your time on key responsibilities that include:

• Researching and implementing scalable AI systems that meet business requirements.
• Enhancing data pipelines and storage for optimal data accuracy and cleanliness.
• Monitoring and optimizing learning processes to improve high-performance models.
• This position may have travel requirements as needed to engage with external clients regularly.

Skills and attributes for success

To excel in this role, you will need a blend of technical expertise and interpersonal skills. Your ability to navigate complex challenges and deliver impactful solutions will be essential.

This role will work to deliver tech at speed, innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services.

• Strong analytical and decision-making skills to guide project direction.
• Proven experience in project management and tracking deliverable completion.
• Ability to build and maintain relationships with clients and team members.
• Excellent communication skills to convey complex ideas effectively.

qualify for the role, you must have

• A Bachelor’s degree required (4-year degree).
• 3-6 years of full-time working experience in AI and/or Machine Learning
• Strong skills in Python
• Ability to collaborate and communicate effectively with diverse, hybrid and global teams
• Experience designing, building, and maintaining high-impact, high-value production AI/ML solutions on a major cloud platform
• Proficient in Generative AI models and frameworks (e.g., OpenAI, Dall-e, Langchain, Retrieval Augmented Generation (RAG)) and experienced with ML packages like scikit-learn and PyTorch
• Experience with natural language processing and deep learning
• Extensive experience in DevOps tools (GIT, Azure DevOps), Agile methodologies (Jira), and CI/CD pipelines for developing, deploying, and scaling analytical solutions
• Experience with MLOps and ML workflows, including data ingestion, transformation, and evaluation
• Experience with model retraining and feedback loop methodologies
• Experience with model and solution monitoring and reporting
• Understanding of data structures, data modelling, and software engineering best practices
• Strong foundation in mathematics, statistics, and operations research, with proficiency in data manipulation tools (SQL, Pandas, Spark) and deep learning techniques
• Excellent communication skills for conveying findings and recommendations, with a willingness to travel for client engagements

Ideally, you’ll also have

• Master's degree Computer Science, Mathematics, Physical Sciences, or another quantitative field
• Experience in hybrid collaboration and emotional agility
• A track record of working with diverse teams to drive outcomes through complex problem-solving
• Knowledge of sustainability practices in technology
• A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them
• Strong skills in languages beyond Python: R, JavaScript, Java, C++, C
• Experience fine-tuning Generative AI models
• Experience with image processing techniques and/or speech and audio processing and analysis

As a Snowflake Subject Matter Expert (SME) you will be responsible for architecting, developing, and optimizing data warehouse and lakehouse solutions using the Snowflake platform and integrating into SAP BDC.

You will collaborate closely with data architects, engineers, and business teams to ensure data ingestion, storage, and access solutions on Snowflake meet performance, security, and compliance requirements supporting enterprise SAP data migration and analytics.

Your key responsibilities

• Design and implement Snowflake data warehouse and lakehouse architectures aligned with SAP data migration strategies.
  
• Develop and optimize Snowflake SQL queries, stored procedures, and data transformation logic to support SAP workloads.
  
• Manage Snowflake account configurations, resource monitors, virtual warehouses, and access controls.
  
• Integrate Snowflake into SAP BDC, SAP Databricks and Databricks
  
• Integrate Snowflake with SAP data sources and other data platform components, including Databricks, Azure Data Factory, and cloud storage.
  
• Implement best practices for data partitioning, clustering, and caching to optimize performance and cost-efficiency.
  
• Participate in data ingestion automation, metadata management, and monitoring within Snowflake environments.
  
• Collaborate with security teams to enforce data governance, encryption, and compliance policies in Snowflake.
  
• Support CI/CD and automation of Snowflake deployment and pipeline orchestration.
  
• Provide knowledge transfer and technical guidance to team members and clients.
  
• Stay updated on Snowflake innovations and new features relevant to SAP data platforms.
  

Skills and attributes for success

• Deep expertise in Snowflake data warehouse platform, including performance tuning and cost optimization.
  
• Strong SQL skills and experience with Snowflake-specific features such as Time Travel, Zero Copy Cloning, Streams, and Tasks.
  
• Experience with integration into SAP BTP, BDC and Hana DB
  
• Familiarity with SAP data types, structures, and migration tools for seamless integration with Snowflake.
  
• Experience with cloud ecosystems (Azure, AWS, GCP) and data orchestration tools (ADF, Airflow).
  
• Understanding of data security, role-based access control (RBAC), and compliance in Snowflake.
  
• Knowledge of data modeling principles for enterprise data warehouses.
  
• Excellent communication and collaboration skills to work with global SAP and data teams.
  

Other Requirements:

• Experience working on SAP migration or BDC data projects is preferred.
  
• Agile and DevOps experience with automation and pipeline deployment.
  
• Certifications like SnowPro Core Certification or relevant cloud certifications are desirable.
  
• Willingness to work in distributed teams and coordinate across time zones.
  

Job Requirements:

BS/MS in Computer Science, Data Engineering, Information Systems, or a related field.

9+ years in data warehousing and cloud data platforms with 5+ years of hands-on Snowflake experience.

Your key responsibilities

• Booking of domestic and foreign currency bank statements;
• Recording of incoming and outgoing invoices in accounting systems;
• Receiving calculated travel orders and their processing into the accounting system;
• Preparation of electronic payment lists;
• Preparation of legally required documentation for payments abroad
• Filling out statistical and other required forms;
• Performing other financial operations tasks as needed

To qualify for the role, you must have

• High school / College / University degree in related field
• Minimum two years of work experience in accounting

• Knowledge of working in SAP is an advantage
• Knowledge of English is an advantage
• Ability to work as a team member

Ideally, you’ll also have

• Interest in finance, accounting and administration
• Good analytical abilities, logical and structured thinking
• Have working knowledge in Excel and MS Word

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

As Engineering Portfolio Leader your responsibilities will be defining, designing, implementing and operating world-class products for EY and our Clients.

In this role, you will partner with product management to set the vision, strategy and execution for a portfolio that will support yearly revenue in excess of US$40B.

Your key responsibilities

• Build, manage and lead a global team of over 100 passionate engineers as part of the broader EY Engineering team
• End-to-end delivery of a portfolio of Products in partnership with Product Management within agreed targets (on-time, on-budget) and standards
• Manage an overall budget (P&L) in excess of $XM (inc. hosting charges)
• Design, Develop and Operate multi-tenant, global, scalable & highly available Products following the agreed Engineering Operating Model
• Optimize ROI for development and ongoing operations costs of portfolio
• Drive awareness, adoption and reuse of platforms across CT, EY and external partner ecosystem
• Support, measure and continuously improve product availability through Site Reliability Engineering foundational practices (SRE, DraaS)
• Implement DevOps Practices and establish Site Reliability Engineering capabilities across all Products
• Advise and implement technology and platform strategy and standards for Client Technology in collaboration with technology teams across EY
• Advise and implement technology, platforms and development standards as part of Engineering Leadership
• Scout the technology landscape for emerging technologies, patterns and solutions to benefit EY or our Clients
• Drive an engineering culture that attracts and retains the best talent

Other Client-Facing Activities

• Collaborate with technology teams across EY Service Lines, being a thought leader and strategizing with the Client facing teams on implementation of global scale projects, including but not limited to migrations and build out of large-scale solution deployment.
• Participate in client pursuits as the lead representative for EY in the platform and cloud space

Skills and attributes for success

• Balanced experience in managing a delivery organization while having hands-on software development experience
• Expert in driving full product development and software development lifecycle including definition, design, development and operations of globally distributed and scalable cloud-based products
• Expert understanding of software engineering concepts such as: multithreading, data structures, algorithms, design patterns, high performance and scalable components
• Expert knowledge of Application and Infrastructure architectures including non-functional aspects like performance, scalability, reliability, availability etc
• Expert knowledge of software and product development practices and tooling (incl. coding, coding standards and reviews, source control, testing, debugging, build, deployment and operations)
• Deep knowledge on modern multi Cloud (on-prem and public) platforms and infrastructures, Cloud Native application product architectures based on PaaS. SaaS and IaaS services
• Delivering integrated IT operations services across complex multi cloud environments (On-Prem, Azure, Google, AWS) meeting agreed to SLAs
• Technical leadership across infrastructure, networking and platform technologies supporting a diverse application product portfolio (IaaS, PaaS, SaaS)
• Leadership qualities include developing teamwork and trust, exhibiting respectful transparent communication, exemplifying collaboration both with peers and clients and leading positive change that fosters diversity and inclusiveness
• Experienced with managing large IT budgets, driving productivity, quality and cost efficiencies
• Technical leader providing vision, strategy and execution for modern application and infrastructure operations organizations.
• Skilled at creating efficient and modern organization operating models, process and structure supporting shift to Agile, DevOPS and SRE delivery practices.
• Customer centric leader with a sharp focus on delivering significant business value across diverse set of IT and Business stakeholders
• Fiscally responsible budget management and financial control, driving productivity, quality and efficiencies.
• Regular international and domestic travel. Reasonable extension of the working day should be expected commensurate with the needs to fulfil the obligations of the role

Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of engineers. You will lead your team to shape and deliver a portfolio of products

• Manage a software engineering team that builds, designs, implements and maintains a portfolio of software products and related services.
• Set goals, strategies, budgets, and oversee deployment of large-scale projects across multiple sites.
• Manage robust and scalable systems in order to get ahead of the exponential demand.
• Influence and establish best engineering practices through solid design decisions, processes and tools.
• Provide leadership for engineering standards inside EY and manage collaboration with cross-functional Engineering teams to streamline and improve adoption of software platforms.
• Act as Engineering Leadership provide technical governance across all Engineering products

To qualify for the role, you must have

• Degree at university level
• English language skills - excellent written and verbal communication
• 15+ years in business, prior work in industry, technology or a professional services firm
• 5+ years’ experience in managing senior staff and offshore teams
• Understanding of IT life cycle: pipeline, resource, demand, project delivery, financials
• Outstanding self-management, influence management, information presentation and interpersonal communication

The Platform Engineering carries the responsibility of contributing to our technical innovation and efficiency. In this role, individuals will leverage their career by staying hands-on while contributing to a multifaceted team of engineers towards the goal of streamlining and automating our operations and processes. In this role, you will identify and define user/customer requirements, focusing on developing user interfaces (UI) across various platforms such as mobile, web, and tablets. You will be responsible for creating software components and services that interact seamlessly with upstream and downstream components, ensuring that business requirements are met through effective coding and programming.

Your key responsibilities

As a Platform Engineer, you will play a pivotal role in delivering innovative solutions. In the role, you will be at the forefront of contributing to the delivery of processes, solutions, and projects. You will apply your judgment and select appropriate methodologies to inform recommendations, navigate success criteria, barriers, risks, and issues. This role presents an opportunity to challenge yourself, grow your skills, and contribute to our team's success. Expect regular travel as needed by our external clients. Your time will be spent on various responsibilities, including:

• Collaborating with clients to gather and analyze requirements, ensuring that the final product meets their needs.
• Designing and developing user interfaces that are not only functional but also enhance user experience.
• Writing clean, maintainable code and creating specifications that support business objectives.
• Regular travel may be required to meet with clients, providing you with the opportunity to engage directly with stakeholders.

Key responsibilities include:

• Design and implement robust APIs and microservices using Python, FastAPI and OpenAPI.
• Architect and maintain containerized applications using Docker, Kubernetes, and Helm.
• Develop and optimize data models and queries using PostgreSQL and ORMs (e.g., SQLAlchemy).
• Champion test-driven development (TDD) practices, including unit and integration testing.
• Collaborate with cross-functional teams to build distributed systems leveraging message queues (RabbitMQ) and caching layers (Redis).
• Integrate authentication and authorization mechanisms using Keycloak, OAuth2, OIDC, and Azure Active Directory (AAD).
• Work with Azure cloud services, including API gateways (APIM, FrontDoor) and object storage (Azure Blob and File Storage).
• Creating and debugging kubernetes-hosted services.
• Explore and implement interactions with AI/LLM systems, including agentic workflows, vector stores and embedding-based search.
• Monitor, troubleshoot, and optimize platform performance and reliability.
• Occasional contributions to CI/CD pipelines and infrastructure-as-code.

Skills and attributes for success

To excel in this role, you should possess a blend of technical and interpersonal skills. The following attributes will make a significant impact:

• Strong understanding of agile delivery and development methodologies.
• Proficiency in application development tools and quality assurance practices.
• Ability to build and manage relationships with clients, fostering trust and value.
• Excellent communication skills, capable of conveying complex ideas with clarity.

To qualify for the role, you must have

• Bachelor’s degree in computer science, Software Engineering, or a related field
• Typically, no less than 4 - 6 years relevant experience in professional platform engineering experience or similar role in software development and system administration.
• Strong proficiency in Python and FastAPI for backend development.
• Solid experience with microservices architecture, API design, and implementation.
• Hands-on experience with containers, Kubernetes, and Helm.
• Deep understanding of relational databases, especially PostgreSQL, and ORM tools.
• Proven experience with unit testing, integration testing, and TDD methodologies.
• Experience with mTLS for secure service-to-service communication.

• Proficiency in Agile Delivery methodologies.
• Experience with Application Delivery Processes.
• Familiarity with Application Development Tools.
• Knowledge of Quality Assurance practices.
• Understanding of Testing practices.
• Familiarity with the System Development Lifecycle.
• Experience in System Integration.

Ideally, you’ll also have

• Experience with building and evolving distributed systems
• Experience with integration technologies : APIs, message queues, and caches
• Familiarity with identity and access management tools like Keycloak, OAuth2, OIDC, and AAD.
• Exposure to cloud services (Azure preferred), including API gateways and object storage.
• Experience with LLMs, vector databases, and semantic search.
• Knowledge of CI/CD tools and infrastructure automation (e.g., Terraform, GitHub Actions) are assets.

• Experience in complex problem-solving and critical thinking.
• Strong emotional agility and the ability to collaborate in hybrid environments.
• A proactive approach to learning and adapting to new technologies.

What we look for

We seek individuals who are not only technically proficient but also possess a strong sense of curiosity and a desire to learn. Top performers are those who can navigate complex challenges with ease, communicate effectively, and build meaningful relationships with clients and colleagues alike.