Во флагманский проект компании необходим Spark специалист со знанием Scala и С# (будет плюсом), уровень Lead/Senior.

Проект: информационно-аналитическая система, позволяющая автоматизировать решение сложных экспертных задач в сфере корпоративной безопасности. Она позволяет:

- объединить данные из внутри корпоративных систем и внешних источников;

- получить достоверные сведения о физических и юридических лицах;

- выявить и оценить риски взаимодействия с ними на ранней стадии с использованием гибкой скоринговой модели;

- выполнить поиск связей в исходных данных и построить граф связей с любым количеством объектов;

- сформировать отчетные документы.

Задача:

Помощь с модулем графовой аналитики (ищет связи между сущностями - физическими и юридическими лицами).

Этапы:

1) Собеседование с техническим директором проекта.

2) Собеседование с руководящим составом (со стороны бизнеса).

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

Requirements:

• Proficiency in administering Informatica PowerCenter or Informatica Cloud, including installation, configuration, and maintenance of the Informatica environment.
• Knowledge of securing the Informatica environment, including user access management, authentication methods, and data encryption.
• Proficiency in monitoring Informatica resources, managing server logs, and performing routine maintenance tasks to ensure smooth operations.
• Experience with scripting languages (e.g. Python or Bash) and automation tools to automate administrative tasks and improve efficiency.
• Experience in optimizing Informatica workflows, sessions, and mappings for better performance and efficiency.
• Ability to diagnose and resolve issues related to Informatica workflows, data integration, connectivity, and performance.
• Ability to handle change requests, coordinate deployments.
• Knowledge of data quality management, including profiling, cleansing, standardization, and validation techniques.

Nice to have:

• Familiarity with database concepts and SQL queries.
• Experience with ETL processes and tools, including the ability to design and implement efficient data workflows.
• Understanding of Informatica Cloud IDMC integration process with other applications and systems using APIs.
• Knowledge of data warehousing concepts, such as data modeling, dimensional modeling, and star schemas.
• Familiarity with big data technologies, such as Hadoop, Spark, and NoSQL databases.
• Understanding DevOps methodologies and tools can help in managing and deploying Informatica Cloud IDMC pipelines and processes more efficiently.

We are a leading back-office solution provider for Fintech companies that specializes in brokerage-related solutions. We have been operational for over ten years and are continually innovating on a wide range of products and services that serve the financial industry. 

Currently, we are looking for a Technical Product Manager with a strong IT background. You will be working as part of a highly talented team of IT and business specialists. The team’s top priority is to deliver new features and improve existing services.

You like:

• A Challenge;
• A stable environment to nurture your passion for technology;
• A chance to grow as a specialist;
• To work in an agile, fast-paced environment;
• To deliver quality work on time and focus on business value;
• Meaningful work that has a profound impact on the company and the industry.

About you:

• Excellent communication skills. You communicate effectively across a disparate set of stakeholders with a range of technical skills and data literacy;
• 2+ years experience as a product manager in an Agile environment, ideally in the Data Products and Business Intelligence space;
• Exceptional project management skills. You get things done and more importantly, you get others to get their things done too;
• Analytical and decision-making skills. You're able to diagnose and identify as well as formulate effective action plans to resolve issues;
• Systems thinking: the ability to see how small details interrelate and impact the bigger picture;
• Experience with data visualization software;
• Strong knowledge of data warehousing and ETL fundamentals;
• Experience writing SQL queries to explore and QA data.

As an advantage:

• Hadoop and Spark experience;
• Vertica experience;
• Familiarity with Apache Airflow;
• Basic understanding of statistics and statistical testing;
• Familiarity with JIRA and Confluence;
• Familiar with the finance domain.

Responsibilities:

• Working directly with internal customers (at all levels) and engineers to identify data platform and visualization requirements and discover new areas of innovation;
• Translating the needs of non-technical systems users into technical requirements;
• Understanding and quantifying trade-offs to prioritize data and business intelligence engineering projects
• Being an evangelist for data, data visualizations and self-service analytics
• Writing and managing user stories in an agile environment; developing short and long-term strategic roadmaps;
• Being a champion of data quality.

We offer:

• Work in an international company;
• Comprehensive health insurance, social guarantees;
• Paid sports activities;
• Fruits, cookies and great coffee;
• Sponsored educational package;
• Modern office environment in the center of Riga;
• Friendly team and career growth opportunities;
• Fully subsidized parking near the office after the probation period;
• Remote work during the COVID-19 pandemic.

Who are we?

Role Description

Data engineer will be responsible for improving and expanding our data capabilities:

· You will design and develop data applications in one of languages: Python, Scala, SQL

· Develop, customize and manage data integration tools, databases, warehouses, and analytical systems

· Design, build and maintain scalable data models that are clean, tested, and well documented

· Work closely with product teams and other stakeholders to desing and build data marts providing reliable and accurate data in a fast way

· Handle all our data pipelines and contribute towards our data strategy and its execution

Experience, Competencies and Skills Required

· 2+ years of experience as a Data Engineer building data pipelines and analytical data models

· At least 2 years of hands-on experience with Python, SQL. Knowledge of Scala is a plus

· Strong competencies in algorithms and software architecture

· Strong experience in real-time data processing and data ingestion

· At least 2 years of hands-on experience with Big Data systems like Hadoop, Spark

· Experience building data infrastructure using at least one major cloud provider, preferably AWS

· Knowledge of Terraform is a plus

· Knowledge of Scrum, Agile

· Advanced English, good Russian