
1001 - 5000 employees
Founded 2003
🏢 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.
🔥 1 minute ago
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1001 - 5000 employees
Founded 2003
🏢 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.
• Responsible for the development, maintenance, and optimization of data processing solutions within the Client Contribution platform. • Design, develop, and maintain ETL and data transformation processes. • Implement and support Spark-based data pipelines. • Contribute to data integration initiatives across the platform. • Analyze and troubleshoot data-related issues. • Ensure data quality, reliability, and performance across systems. • Work closely with functional and technical stakeholders to gather and analyze requirements. • Collaborate in Agile teams and contribute to continuous improvement of data solutions. • Participate in DevOps practices and CI/CD processes. • Explore and leverage AI-assisted tools to improve data engineering and automation processes (nice to have).
• 3+ years of experience in data engineering or software development • Strong SQL knowledge (ANSI SQL, Hive SQL, Spark SQL) • Hands-on experience with Spark • Programming experience in at least one of the following: Scala, Python, or Java • Experience with Big Data environments such as Azure Databricks, Amazon EMR, Hive, or Cloudera • Familiarity with DevOps and CI/CD practices (Git, GitHub, Sonar, Nexus) • Ability to work effectively in Agile teams • Strong analytical skills and ability to collaborate with cross-functional teams • English proficiency level: B2 or higher.
• 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.
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