About the project

Creating a similar AI-based tool that will accelerate and improve the quality of processing large volumes of information in the field of geology and Data science.

The ideal candidate has extensive experience in RnD project management and is interested in evolving an absolute new product on the market in this area. Has knowledge of Data science/AI/ML and would like to apply his/her expertise in building a real product. Has the skills to build a product development process and teams from scratch. Is someone who knows how to bring together and distribute the work of developers and responsible opportunities. Knows how to build rapport with top managers. And is ready to become the CEO of the product in the future.

Main requirements

⁃ RnD project management experience is mandatory.

⁃ Communication skills at a high level.

⁃ Ability to find common language with opportunities of different fields and position level.

⁃ High organizational skills.

⁃ Ability to understand new things. 

⁃ Ability to see and understand how to monetize the product, analytical skills.

⁃ Strong knowledge and experience in writing roadmap projects.

⁃ Experience in running mining projects.

⁃ Understanding of DS, AI, Neural Networks, etc.

⁃ Industrial domain knowledge and experience will be a big plus.

Terms and Conditions

⁃ Work from a comfortable office in Moscow.

⁃ High salary.

⁃ Full-time schedule.

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.