Senior Data Engineer - Exclusiva para Pessoas com Deficiência

Аналитика рынка

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Описание

Accountabilities - Design, develop, and maintain scalable data pipelines to support large-scale data processing and analytics requirements. - Architect and implement robust data solutions using modern data engineering principles, distributed processing technologies, and cloud platforms. - Design and optimize advanced SQL queries to improve performance and efficiency in analytical environments. - Manage and optimize relational and non-relational databases, applying performance tuning and scalability strategies. - Build and maintain data processing workflows using Apache Spark with Scala or PySpark, alongside Python or Java programming. - Implement and optimize data architectures based on Data Lake and Lakehouse concepts to support evolving business and technical needs. - Work with distributed data processing frameworks such as Databricks and Apache Flink, as well as orchestration tools such as Apache Airflow or Google Cloud Composer. - Support the implementation and maintenance of streaming data solutions to enable efficient data processing and integration. - Leverage cloud services and infrastructure on Google Cloud Platform (GCP) or Amazon Web Services (AWS) to build reliable and scalable data platforms. - Collaborate with technical teams and business stakeholders to understand requirements, define architectural approaches, and deliver effective data solutions. - Contribute to digital transformation initiatives by developing data engineering capabilities that support innovat

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