דרושים Big Data
EY Data Architecture & Engineering - Senior United States, New York, New York
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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
What we offer you
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn .
- We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $106,900 to $176,500. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $128,400 to $200,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
- Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
- Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
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Dell Senior Advisor Data Engineering United States, Texas, Austin
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the specialistsor email.
, Singapore, Seoul,or Tokyo, to do the best work of your career and make a profound social impact.
In theNext Generation Sales Academy (NGSA),you will engage in an intense program that will prepare you for long-term success within the Dell Technologies Sales organization.Over the course of two to three years, you will join our organization as an Associate Inside Sales Representative where you’ll receive premier training from both a technology and sales perspective.Next, you will have the opportunity to be promoted toan InsideSales Representative, where you will carry a quota and run all aspects of a sales cycle. From there, you can take your career to the next level in outside field sales, sales management, or a specialty selling role. We often see those who are successful in this program having 2-3 jobs in your first three years, all with more responsibility, larger business contribution, and an increase in financial earnings.
You will:
Be immersed in the sales and technology industry by talking to and building relationships with customers as well as qualifying opportunities to drive company revenue
Have consistent engagement and collaboration with the NGSA management team, inside sales teams, field sales teams, renewals teams, and development team
Participate in whiteboard competitions, group messaging competitions, and meet metrics expectations
Essential Requirements
Have 2+ years of experience in sales or customer service
to pursue a dynamic sales career, with a focus on driving growth and innovation within datacentres, generative AI, and digital infrastructure.
Strong verbal and written communication skills
Relationship building and interpersonal skills
Proficient in both English and the local language, enabling effective communication across diverse customer and team interactions.
Strong desire
Desirable Requirements
Complete bachelor's degree
Candidate with strong work ethic, a desire to learn, is a self-starter, collaborative, driven, and coachable
Ability to influence others and convey a sense of urgency to drive issues to closure
2-3 years of proven experience engaging with customers—preferably in a sale, customer service, or consultative environment—withstrong communicationand relationship-building skills.
Willingness torelocateand work from Dell Technologies Hub locations, promoting greater collaboration and access to core company resources.
Genuine commitment to building a long-term career in sales or technology, with ongoing enthusiasm for learning, professional development, and advancement.
Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a
of everything we do. Iflooking for you.
EY SAP Enterprise Data Architect United States, New Jersey
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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.
Teva Intern - Data Scientist/Data Engineer Davie FL United States, North Carolina
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Embark on a future with an international pharmaceuticals company, contributing your creative energy to high-impact projects from the moment you arrive through the course of this 12 week experience. You will take part in meaningful work and real-life projects that will help you grow both professionally and personally throughout the program.
- Location: (West Chester, PA)
- Length: minimum of 12 weeks (TBD during mid-May through mid-August)
- Schedule: You must be available to work a 40-hour work week (onsite) for 12 weeks
- Pay: TBD
Tasks & responsibilities
- During the 12 week program, you will gain in-depth insight into the Global Statistical and Programming department.
- Supported by a mentor and experienced colleagues, you will be directly involved in our daily business and be assigned tasks within diverse projects.
- You will also play an important role in the development of concepts and initiatives within the (SDTM clinical programming) business unit.
- Currently enrolled in a Bachelor's or Master's degree in Computer Science or related field program.
- Strong programming skills in Python
- Fundamental understanding and experience in machine learning (supervised/unsupervised learning, model training, evaluation)
- Familiarity with ML libraries such as scikit-learn, TensorFlow, PyTorch, or similar
- Strong problem-solving and analytical skills
- Excellent communication skills and ability to work independently
The internal career site is available from your home network as well. If you have trouble accessing your EC account, please contact your local HR/IT partner.
Palo Alto Senior Product Marketing Manager - Data Security Platform United States, California
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Being the cybersecurity partner of choice, protecting our digital way of life.
Your Career
As a Product Marketing Manager at Palo Alto Networks, you will play a key role in planning and executing the product marketing strategy for our data security offerings. You will be the expert, voice, and go-to-market driver for Palo Alto Networks’ data security capabilities. You will drive positioning, messaging, content creation, and sales enablement for the product line that you are responsible for. You will work closely with stakeholders from product management, sales, field marketing, and technology partners to develop and execute your strategy and advance our mission.
Your Impact
Apply your data security knowledge to translate product capabilities into simple, compelling messages and tools that resonate with customers, with a clear understanding of the target markets and buyer personas
Work closely with Product Management to build a shared market and product vision, and a cooperative relationship that forms the foundation of all product marketing activities
Author compelling, high-quality content, both at a business and a technical level, in a variety of formats including print, web, social media, and video. You like to write and present
Launch products and collaborate with field teams to execute marketing campaigns; be a subject matter expert and a go-to resource for the sales and field marketing teams
Effectively work at building and executing plans that cross different functional groups, including product management, business development, and sales
Represent the company in customer engagements and at events, to evangelize our point of view
Track the data security market and competitive landscape in collaboration with product, marketing, and sales leadership
Your Experience
5+ years of product marketing experience ideally with 3+ years in data security or adjacent cybersecurity solutions..
An understanding of data security technologies, market trends, competitive landscape, and customer requirements is desirable
Outstanding verbal and written communication skills
Comfortable with creating and delivering presentations in a range of environments, from industry conferences to customer briefings
Demonstrated record of working cross-functionally to drive sales, demand generation, and overall organization and business success
Experience and innovative energy to champion successful market and competitive disruption initiatives
Bachelor’s degree required, Technical degree or equivalent background or equivalent military experience is desirable
Compensation Disclosure
The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $131,000 - $212,500/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .
All your information will be kept confidential according to EEO guidelines.
Bank Of America ServiceNow Data Operations Analyst United States, North Carolina, Charlotte
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Job Description:
Job Description:
The
Data Operations Analystsupports the Service Asset Configuration Management (SACM) Operations team which is responsible to ensure the assets (hardware/software) required to deliver services are properly controlled, and that accurate and reliable information about those assets are available when and where it is needed. The SACM Operations team provides reporting and operational capability for managing the inventory within the CMDB; including management of the Remedy internal product catalog.
This job is responsible for developing and delivering data solutions to accomplish technology and business goals and initiatives. Key responsibilities include performing code design and delivery tasks associated with the integration, cleaning, transformation, and control of data in operational and analytical data systems. Job expectations include working with stakeholders and Product and Software Engineering teams to aid with implementing data requirements, analyzing performance, and researching and troubleshooting data problems within system engineering domains.
Responsibilities:
- Manage workorder queue for asset management activities within the CMDB.
- Perform analytical analysis and assessments of data integration sources into the Master Data Warehouse
- Perform and communicate data consistency and accuracy assessments across key IT infrastructure SORs
- Drive future data standardization and quality measurements based on analysis outcomes
- Works across development teams to contribute to the story refinement and delivery of data requirements through the delivery life cycle
- Leverages architecture components in solution development, codes solutions to integrate, clean, transform, and control data in operational and analytical data systems per acceptance criteria
- Builds processes supporting data transformation, data structures, metadata, data quality controls, dependency, and workload management and defines and builds data pipelines and complex data sets to enable data-informed decision making, identifying and raising risks at all stages of the data engineering process
- Develops and executes test plans to produce quantitative results, contributes to existing test suites including integration, regression, and performance, analyzes test reports, identifies test issues and errors, and triages underlying causes
- Drives complex information technology projects to ensure on-time delivery and adheres to team delivery and release processes
- Identifies, defines, and documents data engineering requirements, communicating required information for deployment, maintenance, support, and business functionality
- Works with technology partners and a diverse set of stakeholders to identify and close gaps in data management standards adherence, negotiates paths forward, and helps identify and communicate solutions to complex data problems leveraging knowledge of information systems, techniques, and processes
Required Qualifications
- 3+ years Experience in Data Analysis or Data Integration
- SQL skills against industry standard DBMS (Cloudera, IBM, Trino, Oracle, SQL Server)
- Experience with problem management and ability to dive into root cause analysis.
- Experience with Data quality issues and development of metrics to support improvement of the data quality
- Basic technology knowledge with regards to terminology and database methodology.
- Strong interpersonal and business skills to achieve cooperation/coordination of multiple tasks being performed
- Ability to communicate effectively to multiple levels in technology organization
- Ability to effectively deal with multiple deadline-driven, customer-sensitive projects and tasks
- Strong time management and task prioritization skills
- Ability to communicate clearly and concisely verbally and in writing
- Ability to work with Senior management both on the Technology as well as Business
- Ability to assess and suggest changes to the Master Model over time
- Ability to provide input to reporting and integration requirements
Desired Qualifications
- ServiceNow ITSM experience
- ITIL 4
- Bachelor's degree in Technology from an Accredited University
Skills:
- Analytical Thinking
- Application Development
- Data Management
- Agile Practices
- Collaboration
- Decision Making
EY Senior Data Engineer - Snowflake SME United States, New Jersey
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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.
What we offer you
The compensation ranges below are provided in order to comply with United States pay transparency laws. Other geographies will follow their local salary guidelines, which may not be a direct conversion of published US salary ranges.At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn .
- We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $87,200 to $163,000. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $104,600 to $185,300 . Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
- Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
- Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
Share
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
What we offer you
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn .
- We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $106,900 to $176,500. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $128,400 to $200,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
- Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
- Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
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