Data Engineer
2 semanas atrás
www.traad.com.br is searching for a skilled Data Engineer to join our innovative team. As a Data Engineer, you will play a critical role in designing, developing, and maintaining our data infrastructure and pipelines. You will collaborate closely with data analysts, data scientists, and other stakeholders to build robust data solutions that drive insights and inform business strategy. Your expertise will be essential in ensuring data quality, data availability, and system performance. The ideal candidate will possess a strong foundation in both data engineering practices and cloud-based solutions, with a passion for working with large data sets and complex data ecosystems. You will be responsible for architecting data flows, optimizing processes, and implementing best practices in data management. This role requires a proactive mindset, attention to detail, and a commitment to continuous learning and improvement in the ever-evolving field of data engineering. Your contributions will help us in harnessing the full potential of our data, enabling us to deliver exceptional value to our clients and maintain our competitive edge.
Responsibilities
- Design, build, and maintain scalable data pipelines and ETL processes.
- Collaborate with data analysts and data scientists to understand data needs and deliver quality data solutions.
- Ensure data quality and integrity through validation checks and data profiling.
- Monitor and optimize data systems for performance and scalability.
- Implement and manage data security protocols and compliance measures.
- Develop and maintain documentation related to data engineering processes and standards.
- Stay updated with industry trends and advancements in data engineering best practices.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Proven experience as a Data Engineer or in a similar role, with a strong portfolio of data projects.
- Proficiency in programming languages such as Python, Java, or Scala.
- Experience with data warehousing solutions and ETL tools such as Apache Spark, Talend, or similar.
- Familiarity with databases, both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra).
- Knowledge of cloud platforms such as AWS, Google Cloud, or Azure for data solutions.
- Strong problem-solving skills and the ability to work collaboratively in a team environment.
Benefits
- Training & Development
- Performance Bonus
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