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Senior Data Analyst

Indeed
Full-time
Onsite
No experience limit
No degree limit
Praça do Patriarca, 62 - Historic Center of São Paulo, São Paulo - SP, 01002-010, Brazil
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Description

Job Summary: We are seeking a Data Engineer to develop and maintain scalable, automated solutions that drive insights and support strategic decision-making in a collaborative and innovative environment. Key Highlights: 1. Join Alloha's corporate IT team. 2. Design, build, and maintain robust and efficient data pipelines. 3. Collaborate in an environment grounded in continuous exchange of experiences. Description: Requirements and Qualifications: * Bachelor’s degree in Computer Science, Computer Engineering, or related fields. * Proven experience in Data Engineering or a similar role. * Solid expertise in AWS, Databricks, and Airflow. * Proficiency in SQL, including ability to optimize queries and data extraction processes. * Familiarity with agile development methodologies. * Strong communication skills, teamwork ability, and a proactive attitude toward problem-solving. Nice-to-Haves: * Experience with versioning and automation of data pipelines. * Hands-on experience with CI/CD tools (e.g., Azure DevOps) applied to data engineering. * Proficiency in programming languages such as Python for data processing and orchestration. * Knowledge of monitoring and observability tools (e.g., Grafana). * Experience with data cataloging and governance (e.g., Unity Catalog). * Ability to translate business problems into scalable, data-driven technical solutions. Responsibilities and Duties: We seek professionals driven by data and innovation to join Alloha's corporate IT team. This position is part of the Data Engineering structure and has the primary challenge of developing and maintaining scalable, technological, and automated solutions that drive insights and support data-informed strategic decision-making. We are motivated by innovation and believe in the power of data to transform businesses and enhance the services we deliver to our customers. We operate in a collaborative environment grounded in continuous exchange of experiences, knowledge, and best practices—fostering collective growth and team strengthening. Responsibilities and Duties: * Design, build, and maintain robust and efficient data pipelines using AWS and Databricks. * Integrate data from diverse sources while ensuring integrity and quality. * Collaborate with cross-functional teams to identify needs and deliver effective, innovative solutions. * Apply agile methodologies in the development and delivery of data projects. * Document data and processes, maintaining quality standards that facilitate maintenance and usage of solutions. * Ensure data accessibility and visibility to stakeholders, supporting data-driven decision-making. 251124020246868098

Source:  indeed View original post
João Silva
Indeed · HR

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