Senior Data Engineer

Grupo Data; São Paulo; Teletrabalho; BRL 120.000 - 180.000; Tempo integral

Resumo da oferta

Uma empresa inovadora está em busca de um Engenheiro de Dados Sênior para liderar projetos de engenharia de dados em Snowflake. Neste papel, você será responsável por projetar, implementar e otimizar soluções de dados, além de fornecer orientação a engenheiros juniores. O trabalho envolve colaboração em um ambiente ágil, onde você terá a oportunidade de aplicar suas habilidades em SQL e Snowflake, enquanto se mantém atualizado com as melhores práticas e novas tecnologias. Se você é apaixonado por soluções de dados e deseja fazer a diferença em um ambiente dinâmico, esta é a oportunidade perfeita para você.

Qualificações

• Experiência em design e implementação de soluções técnicas em Snowflake.
• Conhecimento sólido em SQL e arquitetura do Snowflake.

Responsabilidades

• Desenhar e implementar soluções técnicas para pipelines de dados.
• Mentorar engenheiros de dados juniores e garantir a qualidade das soluções.

Conhecimentos

Snowflake

SQL

Git

dbt Cloud

Problem-solving

Formação académica

6+ anos de experiência em engenharia de dados

Ferramentas

Azure DevOps

Jira

Descrição da oferta de emprego

Hi! We are DATA Group and we are searching for the best talent! Our goal is to simplify our clients' lives with innovative IT solutions. We operate at a global scale and we are expanding to Portugal!

If you are passionate and have the desire to make a difference, we want to get to know you! Join us to be part of this incredible adventure!

Who are we looking for? YOU!

Position Overview

The Senior Data Engineer is a highly skilled technical expert in Snowflake development, responsible for designing, implementing, and optimizing data solutions within Snowflake. This individual has a strong background in SQL, a solid understanding of Snowflake Architecture, and at least basic experience or training with dbt Cloud. The Senior Data Engineer will work on complex data engineering projects, deliver high-quality technical solutions, and provide mentorship and guidance to junior engineers while adhering to best practices and performance standards.

Key Responsibilities

1. Solution Design and Implementation:
   Independently design and implement technical solutions for assigned tasks, ensuring they align with coding best practices and performance standards. Utilize in-depth knowledge of Snowflake and SQL to develop scalable, efficient, and performant data pipelines and architectures. Create performant solutions following Snowflake performance best practices, ensuring optimal use of resources and minimal processing time. Leverage dbt Cloud for data transformations, ensuring robust and well-documented code.
2. Technical Expertise and Guidance:
   Act as a technical expert in Snowflake and dbt Cloud development, providing guidance and support to less experienced Data Engineers. Mentor junior engineers, helping them develop technical skills, understand best practices, and gain familiarity with the company's infrastructure and data pipeline. Answer technical questions and help solve problems faced by junior team members, ensuring consistency and quality in solutions.
3. Collaboration and Stakeholder Engagement:
   Participate in technical discussions, providing input on tickets, bugs, and proposed solutions. Raise concerns and identify obstacles proactively, offering potential solutions to overcome them. Collaborate with the Lead Data Engineer on technical implementations and escalated issues. Clarify requirements and business-related questions with the Solution/Product Owner, ensuring alignment between technical solutions and business objectives.
4. Continuous Improvement and Best Practices:
   Follow and contribute to the development of internal coding best practices for data engineering solutions. Stay up-to-date with new Snowflake features, technologies, and industry trends, incorporating them into project work as appropriate. Continuously look for opportunities to improve existing processes, workflows, and performance across the data pipeline.

Required Knowledge and Skills

• In-depth knowledge of Snowflake, SQL, and Git.
• Basic experience with dbt Cloud or confirmed training in data transformations.
• Solid understanding of Snowflake Architecture, including how to design and optimize data models.
• Familiarity with agile implementation methods and project management tools such as Azure DevOps and Jira.
• Ability to design efficient, scalable data pipelines and ensure the overall performance of the Snowflake environment.
• Strong problem-solving skills with a focus on delivering high-quality solutions.

Expectations

The Senior Data Engineer is expected to meet the same core expectations as a Data Engineer, with added autonomy and responsibility for complex technical solutions. Ability to resolve assigned tasks independently and deliver solutions within project timelines. Proactively mentor and support less experienced Data Engineers, ensuring the team follows best practices. Engage actively in technical discussions, sharing knowledge and insights to drive continuous improvement.

Preferred Experience

• 6+ years of experience in data engineering, with a focus on Snowflake and cloud-based data technologies.
• Practical experience with dbt Cloud or equivalent data transformation tools.
• Familiarity with Agile methodologies and experience working in an agile development environment.
• Prior experience working in a collaborative, cross-functional team setting.

This position provides an exciting opportunity to work on advanced data engineering projects, contribute to the success of complex data initiatives, and grow your career while mentoring others. If you are passionate about Snowflake and enjoy working with cutting-edge technologies, we encourage you to apply.

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Work model: Full Remote (Brazilian Time Zone)
Languages required: Portuguese and English B2/C1