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Data Analytics Solutions Specialist

2 semanas atrás


Santa Catarina, Brasil beBeeTechnical Tempo inteiro R$60.000 - R$80.000
Unlock Your Potential as a Technical Solutions Expert

We are seeking a highly skilled Technical Solutions Engineer to collaborate with leading enterprise organizations and innovative startups, driving the power of data analytics forward.

You will be part of our global Technical Solutions team, adopting the SWARM model for tools, processes, and organizational structure. This shift focuses on fostering a collaborative, rewarding environment that measures value creation and teamwork.

Our team is aligned directly with our Product and Engineering teams through a robust Subject Matter Expert program. We leverage best-in-breed tools along with processes co-authored or directly influenced by our team.

We believe in delivering exceptional customer experiences, and the happiest customers result from having the most satisfied team members assisting them.

Key Responsibilities
  • Effectively handle customer inquiries and issues by combining business acumen with technical assessment skills.
  • Perform troubleshooting of issues both through the UI and terminal interfaces.
  • Work closely with Senior team members to develop your skills and technical expertise within specific areas of the product, with ongoing opportunities for growth and professional development.
  • Partner with Customer Success Managers, Technical Account Managers, and Product teams to recognize trends in customer feedback and translate customer needs into an improved overall product.
Essential Skills and Qualifications
  • Proven experience supporting software platforms/products in customer-facing B2B environments.
  • Hands-on experience with databases such as MongoDB, Redshift, MySQL, Oracle, and Snowflake.
  • Proficiency in reading and writing SQL queries.
  • Understanding of Data Modeling, ETL/Data Integration principles.
  • Knowledge of Mongo Shell Scripting is advantageous.
  • Experience working with JDBC framework.
  • Practical experience with Linux operating systems (Debian and RHEL-based).
  • Experience with Docker and Kubernetes is beneficial.
  • Understanding of Containerization Concept and Auto-Scaling.
  • Familiarity with REST APIs.
  • Knowledge of Python or scripting languages such as JavaScript.