Systems Integration • Banking Sector Solutions • Telecom Operators Solutions • Information Management • Public Sector expertise
1001 - 5000 employees
Founded 1964
November 30
Systems Integration • Banking Sector Solutions • Telecom Operators Solutions • Information Management • Public Sector expertise
1001 - 5000 employees
Founded 1964
• Collect, analyze, clean, and preprocess data from various sources • Design, implement, and maintain data pipelines and ETL processes • Develop and optimize ETL (Extract, Transform, Load) processes to integrate data from diverse sources • Perform data profiling and generate reports to support business decisions • Collaborate with cross-functional teams to understand data needs and deliver solutions • Ensure data integrity, quality, and security • Document data pipelines, processes, and methodologies to ensure maintainability and knowledge sharing • Stay updated with the latest industry trends and technologies
• Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field • Minimum 5 years of professional experience in IT after the completion of studies as a Data Analyst or similar role • At least 3 years of working experience with Python and R programming languages • Proven experience of Shiny web-framework would be a plus • Proven experience with SQL • Familiarity with ETL tools and data visualization tools (e.g., Tableau, Power BI) • Familiarity with cloud solutions such as MS Azure • Strong analytical and problem-solving skills • Experience with Agile methodologies • Good team-leading skills, team spirit, ownership, and accountability • Excellent use of the English language (verbal & written)
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