DATA ANALYST

Descrição We are recruiting a Data Engineer for a multinational company on the Energy Sector.
Responsabilidades - Design and develop robust data pipelines and architectures to facilitate efficient data processing, transformation, and loading; - Implement scalable and reliable ETL processes to extract, transform, and load data from diverse sources into target systems; - Optimize data workflows and processes for high performance, reliability, and scalability, ensuring data integrity and consistency; - Develop business intelligence solutions, including reports, dashboards, and data visualizations, using tools like Power BI, to provide actionable insights and support decision-making processes; - Collaborate with cross-functional teams to understand data requirements and integrate data solutions effectively within the organization's infrastructure; - Ensure compliance with data governance policies, security standards, and regulatory requirements in all data-related activities; - Continuously monitor and evaluate data processes, identifying areas for improvement and implementing enhancements to drive efficiency and effectiveness; - Stay updated with the latest trends and advancements in data engineering, ETL, data integration, business intelligence, and reporting domains, incorporating new technologies and best practices into data solutions where applicable.
Requisitos - Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field; - Proven experience (3-5 years) in roles such as Data Engineer, ETL Developer, Data Integration Engineer, Business Intelligence Developer, or Data Analyst with a focus on ETL and reporting; - Strong proficiency in database technologies, ETL tools, and data integration platforms, including but not limited to SQL, Python, Apache Spark, Apache Hadoop, Talend, Informatica, or similar; - Demonstrated experience in designing, developing, and maintaining complex data pipelines and ETL workflows to support data-driven decision-making; - Expertise in data modeling techniques and methodologies, with a solid understanding of dimensional modeling, relational databases, and data warehousing concepts; - Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform, and experience in implementing data solutions in cloud environments; - Hands-on experience with business intelligence tools and data visualization platforms, such as Tableau, Power BI, or Looker, to create insightful reports and dashboards; - Strong analytical and problem-solving skills, with the ability to analyze complex data sets and derive actionable insights; - Experience working in Agile environments and familiarity with DevOps practices for continuous integration and deployment (CI/CD); - Excellent communication and collaboration skills, with the ability to effectively communicate technical concepts to non-technical stakeholders and work closely with cross-functional teams; - Continuous learning mindset, staying updated with the latest trends and advancements in data engineering, ETL, data integration, and business intelligence domains.