
Data Analytics Expert: Cloud and AI Services
11 hours ago
At GFT Poland, we are dedicated to delivering cutting-edge data analytics services that drive business growth and innovation. As a Data Analytics Expert, you will be responsible for designing, building, testing, and deploying cloud and on-premise data analytics services using the latest technologies.
About the RoleYou will work with our experienced team of IT experts to develop and operationalize AI models, provide analytics consultancy, and collaborate with other project teams to deliver high-quality solutions. Your expertise in data modeling, machine learning, and data science will enable us to create data-driven insights that drive business decisions.
We are looking for a highly skilled professional who can lead our data analytics efforts and take ownership of complex projects. You will have the opportunity to work on challenging projects for major financial institutions and develop your skills in cloud computing, AI, and data engineering.
About UsGFT Poland is a leading IT service provider with 32 years of experience in the market. We pride ourselves on our innovative approach, dedication to knowledge sharing, and commitment to employee development. Our team of experts is passionate about delivering high-quality solutions that meet our clients' needs.
What We Offer- Contract of employment or B2B contract
- Hybrid work - 2 office days per week
- Working in a highly experienced and dedicated team
- Competitive salary and extra benefit package that can be tailored to your personal needs
- On-line training and certifications fit for career path
- On-line foreign language lessons
- Social events
- Access to e-learning platforms
- Ergonomic and functional working space
To succeed in this role, you will need:
- Proficiency in Python, SQL, Spark, and PySpark
- Strong data modeling skills
- Experience with machine learning and data science
- Knowledge of cloud computing platforms (GCP, Azure, AWS)
- Data engineering background
- Understanding of key concepts around data warehousing, data lakes, and data lakehouses
- Experience with data visualization tools
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