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Senior Data Engineer

Posted 1 day agoViewed

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💎 Seniority level: Senior, 3+ years

📍 Location: States of São Paulo and Rio Grande do Sul, Rio de Janeiro, Belo Horizonte

🔍 Industry: Data Engineering

🏢 Company: TELUS Digital Brazil

🗣️ Languages: English

⏳ Experience: 3+ years

🪄 Skills: AWSDockerPythonSQLAgileApache AirflowCloud ComputingETLKubernetesData engineeringData scienceCommunication SkillsAnalytical SkillsTeamworkData modelingEnglish communication

Requirements:
  • At least 3 years of experience as Data Engineer
  • Have actively participated in the design and development of data architectures
  • Hands-on experience in developing and optimizing data pipelines
  • Experience working with databases and data modeling projects, as well as practical experience utilizing SQL
  • Effective English communication - able to explain technical and non-technical concepts to different audiences
  • Experience with a general-purpose programming language such as Python or Scala
  • Ability to work well in teams and interact effectively with others
  • Ability to work independently and manage multiple tasks simultaneously while meeting deadlines
Responsibilities:
  • Develop and optimize scalable, high-performing, secure, and reliable data pipelines that address diverse business needs and considerations
  • Identify opportunities to enhance internal processes, implement automation to streamline manual tasks, and contribute to infrastructure redesign
  • Act as a guide and mentor to junior engineers, supporting their professional growth and fostering an inclusive working environment
  • Collaborate with cross-functional teams to ensure data quality and support data-driven decision-making to strive for greater functionality in our data systems
  • Collaborate with project managers and product owners to assist in prioritizing, estimating, and planning development tasks
  • Provide constructive feedback, and share expertise with fellow team members, fostering mutual growth and learning
  • Engage in ongoing research and adoption of new technologies, libraries, frameworks, and best practices to enhance the capabilities of the data team
  • Demonstrate a commitment to accessibility and ensure that your work considers and positively impacts others
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