Apply📍 States of São Paulo and Rio Grande do Sul, cities of Rio de Janeiro, Belo Horizonte, Florianópolis and Fortaleza
🏢 Company: TELUS Digital Brazil
- 5+ years of relevant development experience writing high-quality code as a Data Engineer
- Have actively participated in the design and development of data architectures
- Hands-on experience in developing and optimizing data pipelines
- Comprehensive understanding of data modeling, ETL processes, and both SQL and NoSQL databases
- Experience with a general-purpose programming language such as Python or Scala
- Experience with GCP platforms and services.
- Experience with containerization technologies such as Docker and Kubernetes
- Proven track record in implementing and optimizing data warehousing solutions and data lakes
- Proficiency in DevOps practices and automation tools for continuous integration and deployment of data solutions
- Experience with machine learning workflows and supporting data scientists in model deployment
- Solid understanding of data security and compliance requirements in large-scale data environments
- Strong ability to communicate effectively with teams and stakeholders, providing and receiving feedback to improve product outcomes.
- Proficient in communicating and writing in English
- 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
- Help mentor and coach a product team towards shared goals and outcomes
- Navigate difficult conversations by providing constructive feedback to teams
- Identify obstacles to ensure quality, improve our user experience and how we build tests
- Be self-aware of limitations, yet curious to learn new solutions while being receptive to constructive feedback from teammates
- Engage in ongoing research and adoption of new technologies, libraries, frameworks, and best practices to enhance the capabilities of the data team
DockerPythonSQLETLGCPHadoopKafkaKubernetesMachine LearningAirflowData engineeringNosqlSparkCI/CDAgile methodologiesRESTful APIsDevOpsScalaData visualizationData modeling
Posted about 11 hours ago
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