Senior Data Engineer

🕒 Março 18

Candidatar-se

Encontrar Vagas Remotas Similares

Receber Emails de Vagas Remotas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

Vytwo Technologies Inc

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2003

🤝 B2B

🏢 Corporativo

🎯 Recrutamento

B2B • Enterprise • Recruitment

<Vytwo Technologies Inc. > Vytwo Technologies é uma empresa integradora de aplicações empresariais e de serviços de TI, reconhecida globalmente, com sede em Minneapolis, MN. A empresa oferece consultoria de TI, integração de sistemas, desenvolvimento personalizado de aplicativos e produtos, soluções relacionadas a ERP e nuvem, reengenharia, manutenção e serviços de terceirização para organizações de médio a grande porte. Além disso, oferece suporte a produtos, outsourcing de impressão e serviços de terceirização de mão de obra, focando em melhorar a eficiência de vendas dos clientes e acelerar o tempo para o mercado através de uma entrega disciplinada e execução orientada por processos.

Descrição

• Design, develop, and maintain scalable data pipelines using Python, PySpark, and other modern programming languages to support both batch and streaming workloads • Build and optimize data processing frameworks on cloud platforms such as Databricks or Snowflake, ensuring performance, reliability, and cost efficiency • Design and implement robust data models, including transactional (OLTP) and dimensional (OLAP) schemas, to support analytics, reporting, and application integration • Develop high quality SQL code including complex queries, stored procedures, and views, with a focus on performance tuning and efficient data access patterns • Create and manage workflow orchestration using Apache Airflow or similar tools, ensuring reliable scheduling, dependency management, and monitoring • Implement and enforce data governance and metadata standards through tools such as Microsoft Purview, including data lineage, classification, cataloging, and security policies • Build automated data quality and validation frameworks to ensure accuracy, completeness, and reliability of production datasets • Collaborate with cross functional teams including data architects, analysts, scientists, and business stakeholders to understand requirements and deliver scalable, well designed data solutions • Lead technical design sessions and code reviews, promoting engineering best practices, reusability, and maintainability • Support cloud infrastructure and DevOps practices, including CI/CD pipelines, version control, testing automation, and environment management • Monitor and troubleshoot production data pipelines, proactively addressing issues, performance bottlenecks, and system failures • Contribute to the evolution of the enterprise data platform, recommending tools, frameworks, and architectures to improve scalability and efficiency

🎯 Requisitos

• 7+ years of experience in data engineering, software engineering, or similar disciplines • Hands-on experience with Databricks or Snowflake • Experience with orchestration tools such as Apache Airflow • Experience working with cloud ecosystems (Azure preferred; AWS/GCP acceptable) • Advanced SQL skills and experience with OLTP and OLAP data modeling • Solid understanding of modern data warehousing, data lake, and ELT/ETL design patterns • Familiarity with data governance tools, especially Microsoft Purview • Solid programming expertise in Python, PySpark, or similar languages