banco BV
1001 - 5000 employees
Founded 1993
💸 Finance
🏦 Banking
💳 Fintech
💰 Debt Financing on 2022-07
Finance • Banking • Fintech
banco BV is a financial institution that offers a wide range of banking services to both individual consumers and businesses. It provides personal and corporate accounts, credit cards, loans, financing for vehicles and solar energy, insurance solutions, and investment services. The bank also focuses on digital solutions, such as mobile banking apps and open finance initiatives, to enhance accessibility and customer experience. As a versatile financial entity, banco BV caters to both private and corporate clients, providing comprehensive banking and financial services.
Data Engineering Specialist
Job not on LinkedIn
🕒 April 2
🗣️🇧🇷🇵🇹 Portuguese Required
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banco BV
1001 - 5000 employees
Founded 1993
💸 Finance
🏦 Banking
💳 Fintech
💰 Debt Financing on 2022-07
Finance • Banking • Fintech
banco BV is a financial institution that offers a wide range of banking services to both individual consumers and businesses. It provides personal and corporate accounts, credit cards, loans, financing for vehicles and solar energy, insurance solutions, and investment services. The bank also focuses on digital solutions, such as mobile banking apps and open finance initiatives, to enhance accessibility and customer experience. As a versatile financial entity, banco BV caters to both private and corporate clients, providing comprehensive banking and financial services.
📋 Description
• Develop, optimize, and maintain data integration processes and pipelines; • Conduct ad-hoc analyses and studies in collaboration with business teams; • Build interactive dashboards and reports to monitor and visualize key performance indicators; • Implement and manage data infrastructure using the Databricks platform; • Integrate, process, and store data from multiple sources.
🎯 Requirements
• Experience with the Databricks platform and/or similar platforms; • Experience developing data integration processes and pipelines; • Proficiency in SQL and Python for scripting and analysis; • Experience working with data in MongoDB; • Ability to build and interpret management dashboards and reports. • The following are considered a plus: • Experience with other BI and data visualization tools; • Knowledge of Machine Learning and AI techniques and tools.
🏖️ Benefits
• Hybrid: in-office 2 days per week
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