Building Scalable Data Pipelines

2 semanas atrás

Porto Alegre, Rio Grande do Sul, Brasil beBeeDataEngineering Tempo inteiro R$120.000 - R$160.000

About the Position

We are seeking a skilled Data Engineer to join our team. This role is responsible for building and supporting data pipelines that can handle large volumes of data while ensuring scale, accuracy, availability, observability, security, and performance.

Key Responsibilities:

  • Design, build, and maintain scalable data pipelines that meet business requirements.
  • Develop and support data models, warehouse tables, and views for analysts and downstream applications.
  • Ensure data quality through monitoring, lineage tracking, and alerting systems.
  • Implement and maintain core data infrastructure and tooling.
  • Collaborate with cross-functional teams to enable efficient data use.

About You

  • Bachelor's degree in Computer Science, Data Science, or related field.
  • 3-5 years of experience in data engineering.
  • Demonstrated experience of building and supporting large-scale data pipelines.
  • Proficiency in programming languages such as Python and SQL.
  • Experience working with cloud-based data platforms.

First Year Plan

During the first month:

  • Immerse yourself in the company culture and get to know your team and key stakeholders.
  • Build relationships with data engineering team members and understand the day-to-day operating model.
  • Start to learn about our data platform infrastructure, data pipelines, source systems, and inter-dependencies.
  • Participate in standups, planning, and retrospective meetings.
  • Deliver on assigned sprint stories and show progress through completed tasks that contribute to team goals.

Within three months:

  • Start delivering on assigned data engineering tasks to support our day-to-day and roadmap.
  • Start troubleshooting production issues and participating in on-call activities.
  • Identify areas for improving data engineering processes and share with the team.

Within six months:

  • Contribute consistently towards building our data platform, including data pipelines and data warehouse layers.
  • Independently own workstreams, whether it is periodic data engineering activities or work items in support of our roadmap.
  • Deepen your understanding and build subject matter expertise of our data ecosystem.

Within twelve months:

  • Your contributions have led to significant progress in implementing the data platform strategy and key data initiatives to support the company's growth.
  • You've established yourself as a key team member with subject matter expertise within data engineering.

"Data Engineering"

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