
1001 - 5000 employees
Founded 2003
💼 Consulting
🏢 Enterprise
☁️ SaaS
💰 Secondary Market on 2020-07
Consulting • Enterprise • SaaS
Talan is a global company specializing in supporting organizations through positive innovation and transformation. With a presence in 18 countries across 5 continents, Talan offers a diverse range of solutions that enhance decision-making, integrate technology into business strategies, and reinvent business models for resilience and operational excellence. Talan excels in data management and governance, AI-powered solutions, cybersecurity, and cloud platforms. By partnering with leading technology providers like Microsoft, SAP, Oracle, and Salesforce, Talan aims to democratize data use and drive low-carbon transitions. The company also focuses on industries such as energy, transport, financial services, and more, providing insights and solutions tailored to the specific needs of these sectors.
🕒 July 11
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1001 - 5000 employees
Founded 2003
💼 Consulting
🏢 Enterprise
☁️ SaaS
💰 Secondary Market on 2020-07
Consulting • Enterprise • SaaS
Talan is a global company specializing in supporting organizations through positive innovation and transformation. With a presence in 18 countries across 5 continents, Talan offers a diverse range of solutions that enhance decision-making, integrate technology into business strategies, and reinvent business models for resilience and operational excellence. Talan excels in data management and governance, AI-powered solutions, cybersecurity, and cloud platforms. By partnering with leading technology providers like Microsoft, SAP, Oracle, and Salesforce, Talan aims to democratize data use and drive low-carbon transitions. The company also focuses on industries such as energy, transport, financial services, and more, providing insights and solutions tailored to the specific needs of these sectors.
• Design, develop, and maintain ETL and data transformation processes. • Build, optimize, and support Spark-based data pipelines. • Develop scalable data processing solutions in a Big Data environment. • Integrate data from multiple sources while ensuring data quality and consistency. • Analyze, troubleshoot, and resolve data-related issues. • Optimize data performance and processing efficiency. • Collaborate with cross-functional teams to gather and refine business requirements. • Participate in Agile ceremonies and contribute to continuous improvement initiatives. • Follow DevOps and CI/CD best practices throughout the development lifecycle.
• 3+ years of experience in software development and data engineering. • Strong SQL knowledge (ANSI SQL, Hive SQL, Spark SQL, or equivalent). • Hands-on experience with Apache Spark and at least one of the following programming languages: Scala, Python, Java. • Experience working with Spark-based platforms such as Azure Databricks, Amazon EMR, Cloudera, Apache Hive or similar Big Data environments. • Experience with Qlik Sense reporting and dashboard development. • Familiarity with Agile methodologies and DevOps practices. • Experience with version control and CI/CD tools such as Git, GitHub, SonarQube, Nexus. • Strong analytical and problem-solving skills. • Ability to work collaboratively within a multidisciplinary team. • Ability to understand, analyze, and improve business and technical requirements. • English level B2+ or above.
• Permanent, full-time contract with career development opportunities. • Chance to work in a challenging, multicultural environment with international projects. • Exposure to large-scale financial IT systems and cross-country operations. • Training opportunities to develop new skills in finance, technology, and data management.
Apply Now🕒 July 8
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