Metova

Ingeniero de Datos

Metova Brazil Today
engineering

UNLEASH YOUR POTENTIAL WITH US:

We promote a flexible and positive work environment, allowing you the autonomy to build exceptional software solutions for our clients while contributing to a team of industry-leading innovators. If you are passionate about data engineering and ready to make a significant impact, we want to hear from you!

YOUR ROLE:

We are looking for a skilled Data Engineer to join our team. In this role, you will be responsible for designing, implementing, and maintaining robust data pipelines and architectures. You will collaborate with cross-functional teams to ensure that our data is accurate, accessible, and actionable, helping our clients leverage their data for better decision-making.

KEY RESPONSIBILITIES:

  • Design, develop, and maintain data pipeline architectures.
  • Optimize data ingestion, storage, and processing workflows.
  • Collaborate with data scientists and analysts to understand data needs and convert requirements into technical specifications.
  • Ensure data quality and integrity throughout the data lifecycle.
  • Implement data security and compliance measures.
  • Monitor and troubleshoot data systems performance issues.
  • Stay up-to-date with industry trends, technologies, and best practices in data engineering.

Requirements

Requirements

  • 5+ years of experience in Data Engineering or a similar role.
  • Strong knowledge of ETL tools and databases (SQL and NoSQL).
  • Proficiency in programming languages such as Python and/or Java.
  • Experience working with cloud platforms such as AWS, Azure, or Google Cloud.
  • Proven ability to design and build scalable data management systems.
  • Strong focus on data quality, reliability, and continuous improvement.
  • Excellent written and verbal communication skills.

Nice to Have

  • Experience with microservices architectures and containerization tools (Docker, Kubernetes).
  • Knowledge of data visualization tools such as Tableau or Power BI.
  • Experience with real-time data processing technologies (Apache Kafka, Apache Spark).

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