Senior Data Engineer Em Sete Lagoas (pi)

RE Partners; Piauí; Presencial; BRL 167 400 - 223 200; Tempo integral

Resumo da oferta

A RE Partners, empresa de consultoria em tecnologia e negócios, busca um Senior Data Engineer em Sete Lagoas, Piauí. O profissional irá projetar e construir pipelines de ETL com Spark na plataforma AWS, colaborar com diferentes equipes para otimizar a infraestrutura de dados e garantir a qualidade e confiabilidade dos dados. Proficiente em linguagens como Scala, Java ou Python é essencial, assim como experiência em ambientes de big data e AWS. Venha fazer parte de nosso time global e ajudar a moldar o futuro da consultoria tecnológica.

Qualificações

• Experiência profissional em ambientes de engenharia de dados, data warehousing ou arquitetura de dados.
• Compreensão sólida de pipelines de streaming.
• Experiência em construção de produtos de dados em larga escala.

Responsabilidades

• Projetar e construir pipelines de dados ETL em Spark na plataforma AWS.
• Colaborar com equipes multifuncionais para entender necessidades de dados.
• Otimizar infraestrutura de dados e garantir qualidade e confiabilidade.

Conhecimentos

Habilidades em Spark

Programação em Scala, Java ou Python

Conhecimentos em bancos de dados

Familiaridade com infraestrutura AWS

Experiência em data warehousing

Compreensão de sistemas distribuídos

Descrição da oferta de emprego

Cargo:

Senior data engineer em sete lagoas (PI) – sete lagoas

Requisitos

Who We Are: We are a fast growing business and technology consultant company co-founded in 2019. We offer a custom-tailored, white-glove engineering service fit for our clients, because a digital transformation is more than just technology. With a successful track record of being a preferred vendor for Fortune 500 companies and as a trusted partner for some of the industry’s leading companies, our global talent has helped many clients achieve their goals.

The 3 G’s of RE:
“Get Shit Done.”
“Get Over Shit.”
“Give a Shit.”

What You’ll Do:

• Design and build Spark data ETL pipelines on AWS data platform.
• Collaborate with cross functional teams such as data scientists, fraud, marketing and other business stakeholders to understand their data needs and deliver reliable solutions.
• Optimize data infrastructure - Design and maintain robust data infrastructure by using modern data platform architecture.
• Ensure data quality and reliability.
• Innovate and follow best practices.
• Ensure operational excellence of the data platform, including monitoring, incident response, performance optimization, and continuous improvement.

Who We’re Looking For:

• Professional experience working in data warehousing, data architecture, and/or data engineering environments, especially using spark, hadoop, hive etc with solid understanding of streaming pipelines.
• Proficiency in at least one high-level programming language (Scala, Java, Python or equivalent)
• Good understanding of databases
• You have built large-scale data products and understand the tradeoffs made when building these features
• You have a deep understanding of system design, data structures, and algorithms
• You have an excellent knowledge of distributed computing frameworks such as Hadoop Map Reduce, Spark
• You have a strong knowledge of following AWS infrastructure - EMR, S3, Lambda, Redshift etc
• You have strong understanding of data quality, governance
• You are a team player, self-driven, highly motivated individual who loves to learn new things

Join Our Global Team: We invite you to apply for the position at RE Partners. Join us in shaping the future of business technology consulting and transforming the way organizations thrive in a digital world. As a diverse, woman-owned global business, we pride ourselves on keeping talent happy – our 7% attrition rate speaks volumes. Bring your talented friends along and earn a referral bonus

Equal Opportunity Employer: We are an equal opportunity employer and welcome applications from all qualified individuals regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, or veteran status.

Salário

A Combinar

Benefícios

Não informado

Informações adicionais

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