Big Data Engineer

hace 3 días


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

Totalperform is a pioneering tech company that is transforming the way data is utilized across industries.

Role Description

We seek a highly skilled Big Data Engineer to design, build, and maintain scalable data pipelines and ETL processes to handle large volumes of data efficiently. As we gear up for our next growth phase, 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
  • 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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