Technical Architect

hace 5 días


Buenos Aires, Buenos Aires C.F., Argentina Totalperform A tiempo completo

As a Technical Architect at Totalperform, you will play a key role in shaping and refining our data architecture, pipelines, and infrastructure.

Job Responsibilities

We seek a highly skilled Technical Architect to design, build, and maintain scalable data pipelines and ETL processes to handle large volumes of data efficiently. You will work closely with cross-functional teams to ensure data integrity and availability, contributing significantly to the core of our data-driven initiatives.

Key Responsibilities
  • Design, build, and maintain scalable data pipelines and ETL processes to handle large volumes of data efficiently.
  • Implement and manage robust data architectures that adhere to best practices for data modeling, security, and governance.
  • Work alongside data scientists to create and manage machine learning and data processing frameworks.
  • Optimize data retrieval, ensuring high performance and reliability across data systems.
  • Utilize cloud platforms (AWS) to develop data storage and processing solutions.
  • Monitor data operations to troubleshoot and resolve issues effectively and prevent future occurrences.
  • Collaborate with cross-functional teams to integrate various data sources and ensure seamless data workflow.
Required Skills and Qualifications
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 5+ years of experience in data engineering roles.
  • Strong Python skills, with strong scripting and automation abilities.
  • Experience with big data technologies such as Apache Spark, Hadoop, or similar frameworks.
  • Familiarity with data modeling concepts and tools (e.g., ERD, UML).
  • Hands-on experience with ETL tools and data integration techniques.
  • Solid understanding of relational (SQL Server, PostgreSQL) and NoSQL databases (MongoDB, Cassandra).
  • Strong cloud technology experience with AWS, Terraform, Looker, Snowflake, and Data Modeling.
  • Experience with version control systems such as Git.
Preferred Qualifications
  • Experience with data mining and machine learning algorithms.
  • Knowledge of containerization technologies such as Docker and orchestration platforms like Kubernetes.
  • Background in financial or travel industries is a plus.
  • Strong problem-solving skills and ability to implement solutions independently.
  • Familiarity with Agile methodologies and team collaboration tools.


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