Remote Software Engineer IV - Data Platform at Pismo

2 months ago Development & Programming Middle Full-Time

The Data Platform team is responsible for evolving the design, architecture, and development of our events platform at Pismo. Play a pivotal role in enhancing the data platform stack, refining best practices, and shaping the future of data processing performance and data engineering standards across the organization.


Minimum Qualifications

  • B2 English (Upper Intermediate);
  • Experience with Golang, Event/Data Processing Architecture and Cloud Computing.
  • Desirable experience with : Python, Spark, Airflow, Terraform, Docker, CI/CD and SQL/NoSQL Databases;


What you'll do

  • Develop and improve data pipelines using big data technologies and implement solutions to evolve data platform architecture.
  • Seek technological evolutions that improve the data processing platform.
  • Be accountable for the operation and monitoring of the production of file and event systems.
  • Ensure that the systems meet the established SLAs.
  • Participate in the design and implementation of high-complexity features.
  • Collaborate with other internal and external teams and customers to ensure efficient delivery and needs files and events.
  • Acting in the demands of system operation (RUN/Oncall), respecting customer slas, and proposing improvements to improve the service level.
  • Be a guardian of the processes, following them rigorously and ensuring that data stakeholders also follow them.
  • Support in production management processes: performing root cause analyses and contributing to their problem-solving skills.

Core Benefits

  • Remote work
  • Flexible hours
  • Gympass
  • Meal & Food vouchers
  • Remote work financial support
  • Life Insurance
  • Medical and Dental Assistance
  • Employee child care benefit: daycare
  • Vidalink partnership
  • Day off (Birthday)
  • Support for studying languages
  • 50% off AWS and GCP certifications

Technologies that we apply in our day

  • AWS Services;
  • Data Processing: Spark, Flink
  • Python
  • Airflow
  • Relational databases (PostgreSQL and MySQL)

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