About Company: A German brand that holds leading positions in both industrial and consumer businesses.

Tasks:

1) Affiliation of scalable and responsive cloud-based Web application using state-of-the-art frontend engineering practices by:

• Designing a technical concept, coding, testing and documentation according to the backlog item based on AngularJS and TypeScript
• Developing and implementing test scenarios with Cypress
• Translation of UI/UX design wireframes to actual code, by developing web user interface components and related tests
• Designing and testing of APIs
• Developing CI/CD build pipelines for the developed web components and takes actions to keep code/systems stable and efficient
• Testing including unit and integration tests, in case of identified bugs or issues the task is to rework it from step 1. The documentation will be done in Azure DevOps / ServiceNow.

2) Identify, design, and implement product improvements for the project related tasks according to the discussed backlog.

3) Documentation of technical implementation and related processes in Azure DevOps.

English level from B2 is required.

The project, a platform for creating and publishing content on social media using artificial intelligence tools, is looking for a Lead Data Engineer.

Responsibilities:

- Design, develop, and maintain robust and scalable data pipelines for collecting, processing, and storing data from diverse social media sources and user interactions.

- Design of data warehouse.

- Implement rigorous data quality checks and validation processes to uphold the integrity.

accuracy, and reliability of social media data used by our AI models.

- Automate Extract, Transform, Load (ETL) processes to streamline data ingestion and transformation, reducing manual intervention and enhancing efficiency.

- Continuously monitor and optimize data pipelines to improve speed, reliability, and scalability, ensuring seamless operation of our AI Assistant.

- Collaborate closely with Data Scientists, ML Engineers, and cross-functional teams to understand data requirements and provide the necessary data infrastructure for model development and training.

- Enforce data governance practices, guaranteeing data privacy, security, and compliance with relevant regulations, including GDPR, in the context of social media data.

- Establish performance benchmarks and implement monitoring solutions to identify and address bottlenecks or anomalies in the data pipeline.

- Collaborate with data analysts and business teams to design interactive dashboards that enable data-driven decision-making.

- Develop and support data marts and dashboards that provide real-time insights into social media data.

- Stay updated with emerging data technologies, tools, and frameworks, evaluating their potential to improve data engineering processes.

Qualifications:

- Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.

- Proven experience in data engineering, focusing on ETL processes, data pipeline development, and data quality assurance.

- Strong proficiency in programming languages such as Python, SQL and knowledge of data engineering libraries and frameworks.

- Experience with cloud-based data storage and processing solutions, such as AWS, Azure, or Google Cloud.

- Familiarity with DataOps principles and Agile methodologies.

- Excellent problem-solving skills and the ability to work collaboratively in a cross-functional team.

- Strong communication skills to convey technical concepts to non-technical stakeholders.

- Knowledge of data governance and data privacy regulations is a plus.

Project in healthcare industry.

Responsibilities

• Build the automation processes of our Big Data platforms.
• Install, deploy, configure, maintain and monitor infrastructure, systems, and management tools of our Big Data platforms.
• Ensure the highest levels of systems and infrastructure availability for our Big Data platforms.
• Ensure the proper security standards in terms of infrastructure, systems, and processes.
• Monitor and test application performance for potential bottlenecks, identify possible solutions and work with developers to implement fixes Provide 2nd level support.
• Liaise with vendors (Azure and Databricks) and other IT personnel for problem resolution.

General Requirements

• University degree or similar education in Software Engineering or Computer Science.
• At least 3 years experience in DevOps and/or in using automation to build infrastructure.
• Fluent English and good communication skills both in verbal and written form.
• Ability to work in a globally distributed environment.

Technical Skills

• Understanding of infrastructure automation concepts and good hands-on knowledge of Ansible.
• Understanding of containerization concepts and strong knowledge of Docker.
• Good understanding of Versioning Control systems and strong knowledge of Git.
• Hands-on experience in Linux administration and in Bash scripting.
• Experience with Jenkins.
• Proficiency in writing scripts in Python.
• Understanding of cloud paradigms (IaaS/SaaS/PaaS).
• Understanding of networking concepts and cybersecurity best practices.
• Understanding of agile software development process.
• Accustomed to leverage tools like Confluence and Jira for knowledge and collaboration management.
• Hands-on experience with MS Azure.
• Experience with container orchestration and knowledge of Azure Kubernetes.
• Familiarity with Big Data technologies: Spark/Hadoop, Azure Databricks, Apache Airflow.
• Understanding of SQL and NoSQL database types, paradigms, and design patterns.

Project: IT service provider for the life science and healthcare industry.

Requirements:

• Proven experience (5+ years) designing and implementing Dynamics 365 ERP solutions, including hands-on experience with configuration, customization, and integration.
• Strong knowledge of Dynamics 365 modules such as Finance and Operations, Supply Chain Management, Sales, and Customer Service.
• Expertise in Azure cloud technologies and services related to Dynamics 365.
• Proficiency in programming languages (C# and/or JavaScript and/or SQL) for customization and integration tasks.
• Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.
• Strong leadership and interpersonal skills, with the ability to work effectively in a collaborative team environment.
• Relevant Dynamics 365 certifications are highly desirable.
• English: B2.
• L4/L5 (Microsoft Graph for US Government L4; Microsoft Graph for US Government L5).

Goal:

1. Communication with customer - define ongoing challenges and problem areas.
2. Audit of Dynamics365 configuration and related processes/procedures.
3. Prepare audit report for customer.

Project: IT service provider for the life science and healthcare industry.

Responsibilities:

• Managing a distributed team of DevOps engineers and streams within the project
• Participating in customer meetings, setting objectives, and responding to inquiries
• Advising on technical aspects of installation, configuration, sizing, and scaling in Azure Cloud
• Providing new Azure Cloud resources and services via Terraform and/or Azure ARM templates (including Azure Policies and Azure Blueprints)
• Managing and supporting various environments in Microsoft Azure Cloud
• Configuring and managing the infrastructure deployed in Azure Cloud
• Developing and managing the CI/CD process in Azure DevOps for different types of applications, environments, and automation processes
• Deploying and configuring various data pipelines based on Data Factory, Azure Batch, and Azure Databricks
• Automating deployment of application code to different environments
• Managing build assembly, deployment, and configuration, testing implemented solutions.
• Managing and deploying custom scripts.

What we expect:

• Deep understanding of Azure Cloud, Azure DevOps/Pipelines
• Effective team management skills
• Strong customer negotiation skills
• Good knowledge of Terraform and/or Azure ARM templates/Blueprints
• Solid experience with Kubernetes/Docker
• Knowledge of Azure Virtual Networks, App Services, PostgreSQL, Virtual machines, Data Factory, Batch, Functions (Serverless), Logic Apps
• Knowledge of Azure Monitor, Security Center, Log Analytics, and App Insights and ability to use them for system monitoring and developer support (logs, traces, RCAs)
• Experience in creating infrastructure (planning, scaling, monitoring)
• Upper-Intermediate English or higher.

В отдел аналитики крупного банка ищем специалиста, который отлично разбирается в задачах маркетинговой и продуктовой аналитики в мобайле.

Тип аналитика: data engineer/маркетинговый/продуктовый/веб-аналитик

Задачи:

● В первую очередь перед человеком на этой позиции стоит задача объединения данных внутреннего хранилища и системы продуктовой аналитики для формирования сквозной отчетности по ключевым продуктам банка, а также построение маркетинговой отчетности по коммуникациям в мобильном приложении.

● Поддержка текущих и настройка новых интеграций для формирования инфраструктуры маркетинговой и продуктовой аналитики, формирование витрин данных и автоматизированной отчетности для получения сквозных воронок и отчетов по мобильным кампаниям.

● Выработка регламентов/гайдлайнов по разметке маркетинговых коммуникаций в мобайле.

● Разработка подходов к построению отчетов для сквозной отчетности по продуктам банка. Что нужно делать:

● Сформировать витрины внутренних данных для матчинга с данными in-app аналитики и разработать end-to-end отчетность для продуктов банка.

● Провести аудит текущих подходов к разметке ссылок на установку/открытие приложения и разработать регламент/гайдлайн на разметку коммуникаций в мобайле.

● Сформировать подход и организовать ведение актуальной документации по разметке кампаний.

● Выработать подход к формированию набора метрик и методик их расчета для анализа источников трафика в мобильном приложении и сформировать наборы метрик для конкретных продуктов банка. Выработать единый подход к построению отчетов по основным метрикам: наборы метрик, скрипты, макеты отчетов.

● Проработка и внедрение в постоянное использование методов и инструментов сквозной и маркетинговой аналитики (матчинг данных, различные модели атрибуции и пр.)

● Регулярный аудит качества и полноты разметки коммуникаций (наличие и соответствие регламенту), а также матчинга онлайн и офлайн данных.

● Построение отчетов по продуктам банка.

Необходимый опыт:

● Опыт работы в маркетинговой и/или продуктовой аналитике от 3-х лет.

● Знание и практический опыт решения основных задач продуктовой и маркетинговой аналитики. Понимание специфики рекламных инструментов в digital-маркетинге.

● Глубокое понимание принципов и ограничений в сборе и обмене данными в системах мобильной, веб-аналитики, а также рекламных систем.

● Опыт построения сквозной аналитики, ETL-процессов в интернет-маркетинге и продуктовой аналитике.

● Опыт применения best practices по интеграции данных в интернет-маркетинге и умение аргументировать принимаемые решения. Технические навыки

● Опыт работы с одной или несколькими системами: ○ системы аналитики: Appsflyer, myTracker, Firebase, Amplitude, Mixpanel, Google Analytics, Яндекс.Метрика, AppMetrica или аналогами, ○ облачные хранилища: Google Cloud Storage, Yandex.Cloud или аналоги, ○ рекламные системы: Google Marketing Platform, рекламные продукты Яндекса.

● Опыт работы с API систем аналитики и рекламных систем.

● Опыт построения автоматизированной отчетности: от сбора, хранения, подготовки данных до построения отчетов/дашбордов и проведения анализа данных.

● Уверенное владение SQL и опыт работы с базами данных (Oracle, Vertica, Hadoop).

● Знание инструментов для автоматизации сбора, статистической обработки сырых данных (R/Python).