Data Developer, Python, Databricks

🔥 54 minutes ago

🇦🇷 Argentina – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 11%

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Logo of Talan

Talan

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.

📋 Description

• Develop data processing and analytics solutions • Design and optimize data consolidation and transformation processes for large volumes of information • Manage relational databases, particularly Oracle Exadata • Work with non-relational databases based on S3 • Apply artificial intelligence to data processing and data exploitation • Schedule and automate batch processes using Control-M • Generate reporting and indicators for data exploitation • Design scalable solutions in cloud environments • Collaborate with business and technology teams to transform data into valuable insights • Work on international projects as part of a multicultural team

🎯 Requirements

• Minimum 3 years of hands-on experience with Python and Databricks • Strong knowledge of Python development • Experience with Databricks for data processing and analytics solutions • Knowledge of Artificial Intelligence applied to data processing and data exploitation • Experience managing relational databases, particularly Oracle Exadata • Experience working with non-relational databases based on S3 • Strong experience in the design and optimization of data consolidation and transformation processes for large volumes of information • Advanced knowledge of PL/SQL • Experience with Control-M for batch process scheduling and automation • Experience generating reporting and indicators for data exploitation • Intermediate knowledge of Angular • Ability to design scalable solutions • Experience working in cloud environments • Ability to collaborate with both business and technology teams to transform data into valuable insights

🏖️ Benefits

• Possibility to be part of a multicultural team and work on international projects

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