Data Analytics Specialist

Há 8 horas

Florianópolis, Santa Catarina, Brasil beBeeData Tempo inteiro US$90.000 - US$120.000
About the Role

We are seeking a skilled Technical Support Engineer to join our team. As a Technical Support Engineer, you will work with leading enterprise organizations and startups to help them unlock the power of data analytics.

You will work closely with our Product and Engineering teams through a robust Subject Matter Expert program, utilizing best-in-breed tools and processes.

Our team is focused on delivering exceptional customer experiences, and we believe that happy customers are made by having a happy team helping them.

The ideal candidate will have:

  • Proven hands-on experience supporting software platforms in customer-facing B2B environments.
  • Experience with databases such as MongoDB, Redshift, MySQL, Oracle, and Snowflake.
  • Skilled in reading and writing SQL queries.
  • Understanding of Data Modelling, ETL/Data Integration is a plus.
  • Knowledge of Mongo Shell Scripting is a strong advantage.
  • Experience working with Linux operating systems (Debian and RHEL-based).
  • Experience with Docker and Kubernetes is a strong advantage.
  • Understanding of Containerization Concept and Auto-Scaling is a plus.
  • Familiarity with REST APIs is an advantage.
  • Knowledge of Python or scripting languages such as JavaScript is a plus.

In this role, you will be responsible for handling customer questions and issues by combining business acumen with technical assessment skills. You will work closely with Senior team members to develop your skills and technical expertise within specific areas of the product.

You will partner with Customer Success Managers, Technical Account Managers, and Product to recognize trends in customer feedback and translate customer needs into a better overall product.

Responsibilities:

- Handle customer inquiries and issues effectively.

- Work collaboratively with Senior team members to develop skills and technical expertise.

- Collaborate with cross-functional teams to identify customer trends and needs.

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