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Senior Data Engineer
Отличная возможность в крупной международной компании (NASDAQ: NICE) с фокусом на передовые AI-технологии. Высокий балл обусловлен масштабом проектов и потенциалом карьерного роста, несмотря на требование сменного графика.
Сложность вакансии
Роль требует высокого уровня ответственности, включая лидерство в проектах и работу с глобальными клиентами. Основная сложность заключается в необходимости глубокого понимания AI-платформ и готовности к сменному графику работы.
Анализ зарплаты
Зарплата для Senior Data Engineer в Маниле обычно выше среднего по рынку Филиппин, особенно в международных технологических компаниях уровня NICE. Указанный диапазон отражает рыночные стандарты для специалистов с опытом более 6 лет.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Data Engineer position at NICE. With over 6 years of experience in data engineering and professional services, I have developed a deep expertise in building scalable data architectures and delivering actionable insights that drive business growth. My background in managing complex SQL/NoSQL environments and my leadership experience align perfectly with your requirements for the MPower Proactive AI Agents team.
I am particularly drawn to NICE's reputation as an innovation powerhouse in conversational AI. Throughout my career, I have excelled at bridging the gap between complex data structures and stakeholder needs, ensuring that data models not only function efficiently but also provide clear strategic value. I am eager to bring my analytical mindset and passion for AI-driven platforms to help expand the Manila team's capabilities and support your global client base.
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Описание вакансии
At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.
MPower Proactive AI Agents has recently become a part of the NICE CXOne suite and is a market leader in proactive conversational AI.
MPower Proactive AI Agents is a cloud-hosted conversation platform. Proactive and omni-channel, MPower Proactive AI Agents leverages artificial intelligence, natural language understanding and machine learning so that global brands can transform their customer journeys. MPower Proactive AI Agents disrupts the traditional call-centres; just a fraction of the cost to deploy and run, but with three times the customer engagement rate of its manual call-centre predecessors. This means that as well as being lower cost, MPower Proactive AI Agents can drive corporate KPIs harder and faster, at the same time as improving the customer experience.
More about the role…
As a rapidly growing business, we are further expanding the team here in Manila. In this new role, you will become a MPower Proactive AI Agents expert and advocate, delivering high-quality implementations, analysis, support, and much more to clients across the globe.
Working initially with both the EU and US teams you will provide implementation and support to our new and existing clients, then when MPower Proactive AI Agents expands into APAC, the Manila team will also lead the implementation, quality assurance, support, and delivery for local clients.
Key Responsibilities…
- Become a subject matter expert in the MPower Proactive AI Agents solution, such as, but not limited to, data model, reporting structure, and AI-driven functionalities.
- Design, develop, and maintain reports, dashboards, and analytics tools that provide business-critical insights to internal stakeholders and external customers.
- Train team members, partners, and clients on the available data structures and reporting tools.
- Conduct research and perform data analysis to identify root causes of issues, assess impact, and uncover anomalies or inconsistencies within the data.
- Collaborate with global cross-functional teams to analyze customer journeys, identify trends, and produce insightful reports and dashboards.
- Learn and continuously adapt to modern technologies, such as, but not limited to, AI-enabled data management and automation tools.
- Participate in and lead the definition and implementation of optimization strategies, leveraging deep insights from data.
- Support data governance efforts by documenting processes, maintaining a knowledge base, and contributing to data security best practices.
- Understand, propose, improve, implement processes (what processes? Very vague)
- Write efficient and optimized SQL and scripts to extract, transform, analyze, and present data in meaningful formats.
- Contribute to building and evolving data standards, best practices, and scalable solutions for reporting and analytics.
- Take initiative in proposing and experimenting with new tools, architectures, and methodologies for data storage, processing, and visualization.
- Provide on-call support to global customers
- And other responsibilities
Knowledge/Experience…
Basic Qualifications:
- 6+ years experience in a consulting / data engineering / professional services role
- 3+ years experience in senior/leadership roles
- Ability to influence stakeholders and customers on project management and related topics.
- Experience working with databases (relational and non-relational) at scale (ex: MySQL, Redshift, PostgreSQL, MongoDB, Redis, Cassandra, etc.)
- Experience working with data warehouses and data lakes, including the associated ETL, reporting and data visualization tools (example: Looker, Power BI, Tableau, etc.)
- Experience writing complex queries (SQL/NoSQL)
- Expertise, knowledge, and understanding of architectures needed to build business-centric reports from multiple data sources (ranging from basic to complex)
- Expert understanding of Professional Services Project Management Policies and Processes
- Develop processes and process improvements to ensure high-quality and cost effectiveness
- Excel in the ability to identify areas of concern based on documentation based on product knowledge, the needs of the stakeholders/customer, and other factors
- Analytical mindset with excellent problem-solving and troubleshooting skills.
- Willingness and enthusiasm to learn complex AI-driven platforms and tools.
- Ability to successfully work in a team-oriented, highly collaborative environment
- Ability to clearly communicate and present to stakeholders (internal and external)
- Amenable to work shifting schedules
Nice to Have:
- Familiarity with AI/ML-driven data solutions, or interest in learning.
- Experience working in cloud environments (Example: Azure, AWS, or GCP).
- Exposure to Python, R, or other scripting languages for data analysis.
- Understanding of data privacy, security, and governance frameworks.
*About NiCE*
NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.
Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.
NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.
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Навыки
- SQL
- NoSQL
- MySQL
- Redshift
- PostgreSQL
- MongoDB
- Redis
- Cassandra
- ETL
- Looker
- Power BI
- Tableau
- Python
- R
- AWS
- Azure
- GCP
- Data Governance
- Data Visualization
Возможные вопросы на собеседовании
Проверка опыта работы с высоконагруженными системами, упомянутыми в вакансии.
Расскажите о вашем опыте масштабирования реляционных и нереляционных баз данных (например, Redshift или MongoDB) для аналитических нужд.
Вакансия подразумевает роль эксперта и наставника.
Как вы подходите к обучению клиентов и коллег сложным структурам данных и инструментам отчетности?
Работа в NICE требует взаимодействия с командами в США и ЕС.
Опишите ваш опыт работы в кросс-функциональных глобальных командах. С какими трудностями в коммуникации вы сталкивались?
В описании указано использование AI для управления данными.
Как бы вы использовали AI/ML инструменты для оптимизации текущих процессов ETL или улучшения качества данных?
Позиция требует готовности к сменному графику.
Насколько вы адаптируемы к сменному графику работы для поддержки клиентов в разных часовых поясах (США/ЕС/APAC)?
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