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Senior Data Engineer
Отличная вакансия для опытного инженера: работа в международной консалтинговой сети Reply, доступ к новейшим технологиям Microsoft и возможность влиять на архитектурные решения. Высокий балл за профессиональный рост и работу с топовыми облачными инструментами.
Сложность вакансии
Высокий уровень сложности обусловлен требованием 8-летнего опыта и глубокой экспертизы в специфическом стеке (Azure, Databricks, Fabric). Роль предполагает не только разработку, но и консалтинг, что требует отличных навыков общения с клиентами.
Анализ зарплаты
Зарплата в объявлении не указана, но для позиции Senior Data Engineer в таких городах, как Атланта или Филадельфия, рыночные показатели обычно находятся в диапазоне $140k-$180k. Консалтинговые компании уровня Reply часто предлагают конкурентные пакеты, соответствующие верхним границам рынка для опытных специалистов.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Data Engineer position at Valorem Reply. With over 8 years of experience in data engineering and a deep specialization in the Microsoft Azure ecosystem, I have successfully led the design and implementation of scalable Lakehouse architectures and complex ETL/ELT pipelines. My background in consulting allows me to bridge the gap between technical requirements and business objectives, ensuring that data platforms not only perform optimally but also drive strategic value.
In my previous roles, I have gained extensive hands-on experience with Databricks, PySpark, and Azure Data Factory, including implementing Unity Catalog for robust data governance. I am particularly drawn to Valorem Reply's focus on Microsoft Fabric and Mosaic AI, as I am eager to leverage these cutting-edge technologies to solve sophisticated data challenges for your clients. I am confident that my technical expertise in distributed data processing and my commitment to engineering excellence make me an ideal fit for your Data + AI team.
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Присоединяйтесь к команде Valorem Reply и создавайте передовые решения на базе Microsoft Azure и Databricks для крупнейших мировых компаний!
Описание вакансии
Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital workplace by leveraging the power of Microsoft technologies. We provide hyper-scale and agile delivery of unique digital business services, strategic business models and design-led user experiences. Our innovative strategies and solutions securely and rapidly transform the way our clients do business.
We are seeking a Senior Data Engineer to design, build, and optimize modern data platforms for our clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. In this role, you will combine deep technical expertise with strong consulting skills — engaging directly with clients, understanding business needs, translating requirements into scalable technical solutions, and communicating clearly with both technical and non-technical stakeholders.
Responsibilities
- Work directly with clients to understand business goals, data challenges, and technical requirements
- Lead or support discovery sessions, requirements workshops, architecture discussions, and solution reviews
- Develop and optimize batch and streaming data ingestion pipelines from enterprise applications, databases, APIs, and file-based sources
- Implement medallion/Lakehouse architectures, dimensional models, and data transformation workflows to support analytics and reporting use cases
- Engineer solutions using technologies such as PySpark, Spark SQL, SQL, Python, Delta Lake, and orchestration tools within Azure and Databricks
- Recommend best practices for data modeling, governance, lineage, monitoring, DevOps, and security
- Help establish engineering standards, reusable frameworks, accelerators, and documentation for internal and client teams
- Contribute to estimation, project planning, and delivery management for client engagements
Minimum Requirements
- Bachelor’s degree in computer science or related field
- 8 years of experience in data engineering, data platform development, or cloud data solutions
- 3 years of hands-on experience with Azure Databricks, Apache Spark, or similar distributed data processing technologies
- Expertise with Microsoft Azure infrastructure and data resources, including Fabric, Azure Data Factory, Synapse Data Analytics, Power BI, Azure SQL, Azure Cosmos DB
- Deep expertise with Databricks, specifically the ability to design enterprise-level strategy and architecture including Unity Catalog, data warehousing, data sharing, and Mosaic AI
- Experience setting end-to-end modern data platforms in Azure including architecture/design, ingestion, storage strategies, analytics & reporting, Apache Spark, and networking requirements
- DevOps for data, GitHub, automated testing, and working with containers (AKS, Docker, registries, etc.)
- Excellent communication skills, ability to clearly explain concepts to teammates and customers, and quickly learn new concepts and technologies
Preferred Qualifications
- Azure Database for PostgreSQL
- Experience working directly with clients, business stakeholders, or cross-functional teams in a consulting or professional services environment.
- Experience establishing data management strategy for customers, including data governance, data security, master data management, and familiarity with different industry security requirements
- Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps
- Experience with Delta Lake, Unity Catalog, and Databricks workspace administration or governance.
- Broad experience with data/reporting tools, architectures, cloud vendors, and data/AI concepts other than Microsoft
About Reply
Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services.
Reply is an equal opportunity employer. We are committed to provide equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you need assistance and reasonable accommodation due to a disability during the application or the recruiting process, email us at jobusa@reply.com. Visit our website at www.reply.com to learn more about our open roles.
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Навыки
- Python
- GitHub
- SQL
- Kubernetes
- Microsoft Azure
- Docker
- PySpark
- Azure Data Factory
- Delta Lake
- Apache Spark
- Databricks
- ETL
- Power BI
- Data Modeling
- Azure Synapse Analytics
- Microsoft Fabric
Возможные вопросы на собеседовании
Проверка глубины знаний архитектуры Databricks и управления данными.
Расскажите о вашем опыте внедрения Unity Catalog: с какими основными сложностями вы сталкивались при настройке управления доступом и происхождением данных (lineage)?
Оценка понимания современных трендов в экосистеме Microsoft.
Как бы вы подошли к миграции существующего решения из Azure Synapse в Microsoft Fabric? Какие преимущества и риски вы видите?
Проверка навыков оптимизации производительности в распределенных системах.
Опишите случай, когда вам пришлось оптимизировать медленно работающий Spark-джой на большом объеме данных. Какие техники (например, broadcast, partitioning, z-order) вы использовали?
Оценка консалтинговых навыков и умения работать с требованиями.
Как вы действуете, когда требования клиента к архитектуре данных противоречат лучшим практикам производительности или безопасности?
Проверка зрелости процессов разработки.
Каким образом вы организуете CI/CD для дата-пайплайнов и инфраструктуры (IaC) в среде Azure?
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