CHABRE IT SERVICES SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ
17. 11. 2024
Informacje o stanowisku
technologies-expected :
Python
AWS
about-project :
Our client is a forward-thinking technology consulting firm, renowned for delivering innovative, scalable digital solutions across industries. With a global reach and a strong focus on data-driven transformations, the company supports its clients in leveraging data for strategic decision-making. It is committed to fostering a collaborative, growth-oriented environment where employees are encouraged to drive meaningful impact and stay at the forefront of technological advancements.
responsibilities :
Design and implement sophisticated data models and database systems, ensuring they are scalable, resilient, and optimized for business needs
Build and maintain the infrastructure for seamless extraction, transformation, and loading (ETL) processes, utilizing a range of data sources through SQL and AWS big data solutions
Engage closely with business teams to refine data models, supporting business intelligence and enabling data-driven insights across the organization
Oversee project timelines and milestones for data infrastructure initiatives, ensuring they align with strategic objectives
Research and evaluate emerging data technologies and analytical tools to continuously enhance system performance and data handling capabilities
requirements-expected :
Minimum of 4 years of hands-on experience in data engineering, including scaling and managing complex data pipelines
Strong proficiency in Python programming
Deep knowledge of big data ecosystems and data modeling best practices
Solid experience with AWS, especially in designing and deploying cloud-based, scalable data solutions
Understanding of tradeoffs and best practices in Data Lake design and optimization
Analytical mindset with a focus on improving data quality and operational efficiency
Strong communication skills, with the ability to collaborate across teams and convey technical concepts clearly
Bachelor’s or master’s degree in Computer Science, Engineering, Data Science, or a similar field