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: 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.

Looking for a SRE/DevOps Engineer to work on a trading product.

Requirements:

• Strong knowledge of Linux (or any other Unix);
• Experience with DevOps tools (Docker, Jenkins, Gitlab-CI, Ansible, Terraform, Chef, Puppet etc.);
• Understanding of principles of web-servers (ex. Nginx);
• Understanding of HTTP Stack;
• Understanding CI/CD;
• Version control systems: Git;
• Knowledge of SQL;
• Basic knowledge of databases: PostgreSQL/MySQL;
• Basic knowledge of networks.

Tasks/responsibilities:

• Monitor the operation of reporting systems in production, solve current problems and work on improving the operation of systems (find errors in logs and performance loss, detect problems in the interaction of services, analyze application performance metrics and system metrics of host resources on which the application is deployed and create tasks for development team to fix the problems);
• Incident resolution, root cause analysis, reporting, collaboration in problem;
• solving including problems related to other teams;
• Configure and adjust monitoring of services;
• Build, release and configuration management of production systems;
• Deploying, automating, maintaining and managing AWS cloud-based production system, to ensure the availability, performance, scalability and security of production systems;
• Managing dev QA and production environments.

Tech stack:

• *nix family OS;
• AWS;
• Kubernetes;
• ELK;
• Zabbix, Grafana, Dynatrace;
• Git;
• Jenkins, Gitlab CI;
• Terragrunt;
• PostgreSQL;
• Kafka;
• Consul, Vault.

Relocation to Montenegro.

Project

The (further) development of software for the purpose of iterative experiment design, data visualisation and connection to the Alb. database.

Backend Components:

Therefore, the software development also requires the design and development connectivity to the Alb. database via REST API as well as the frontend with user interface. The first component of API development is required to be developed using Python and TypeScript as well as serverless technologies based on Azure. Developer will be responsible for creating web application backend components from scratch, which will be exposed as REST Web APIs to frontend. In this role, you should be able to write functional code, which handles data from external REST APIs as well as from NoSQL database.

Frontend:

The second frontend component requires proficiency in AngularJS and TypeScript with the ability to make code design decisions. In addition, the developer has Python development skills, experience in API development and testing as well as in data visualization frameworks like D3.js.

Backlog items will be assigned in Azure DevOps containing business requirements and acceptance criteria.

Tasks:

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

o  Designing a technical concept, coding, testing and documentation according to the backlog item based on TypeScript and Python [BE]

o  Designing a technical concept, coding, testing and documentation according to the backlog item based on AngularJS and TypeScript [FE]

o  Translation of UI/UX design wireframes to actual code, by developing web user interface components and related tests [FE]

o  Designing and testing of APIs [FE]

o  Implement serverless technologies based on Azure, Azure Cosmos DB as well as Azure Event Hub [BE]

o  Creating web application backend components from scratch, which will be exposed as REST Web APIs to frontend [BE]

o  Write functional code, which handles data from external REST APIs and from NoSQL database [BE]

o  Implementing JWT-based authentication and access token handling [BE]

o  Performing visualization within data visualization frameworks like D3.js [FE]

o  Developing CI/CD build pipelines for the developed web components and takes actions to keep code/systems stable and efficient [BE, FE]

o  Testing including unit, integration, and performance tests [BE, FE]

-       Identify, design, and implement product improvements for the project related tasks according to the discussed backlog [BE, FE]

-       Documentation of technical implementation and related processes in Azure DevOps. Company will validate and approve it [BE, FE]