Data Engineer (Mexico)

A bit about Intersog

Intersog® is a Chicago-based provider of software engineering, custom development, and IT consulting solutions. We help companies address IT talent by building dedicated software development teams either locally in the USA / Canada / Mexico or in our R&D centers in Ukraine.

A bit about the project

The Data Engineering team enables other teams by creating the ecosystem upon which data processing is built. It is a small team with lots of opportunities to create high-impact solutions and collaborate with a large part of the company.

We’re a people-first, customer-obsessed company focused on helping employees do their best work. Our landing page and conversion platform empower digital marketing teams and agencies to launch campaigns, increase conversions and get significantly better ROI on their marketing spend in a way that nobody else does today.

A bit about you

  • You love designing and building performant platform solutions, using modern patterns and technologies, to solve real problems and see an impact on our users
  • You work as part of a team – your success is the success of the team
  • You are not afraid of taking initiative; proposing and taking on improvements or new solutions, improving existing documentation, or exploring better ways to achieve a goal – these things start with you
  • You own your work – from idea to delivery, you’ll take your projects all the way

Requirements

  • Building event-based stream architecture, using tooling such as Kafka
  • Building orchestrated/batch-based architecture, using tools such as Airflow
  • Deploying containerized applications, leveraging Docker and Kubernetes (or similar)
  • Writing Infrastructure as Code, using tools like CloudFormation or Terraform
  • Working with any of the major cloud-based technologies and platforms (especially AWS)
  • Working with a range of database types (SQL, NoSQL, Graph, etc.)
  • Implementing observability and monitoring of systems and processes
  • Developing and consuming synchronous and asynchronous APIs
  • Comfortable with shell scripts in Linux-based environments
  • Performance tuning and optimization of SQL queries

Responsibilities

  • Enable our partners in Data Analytics, Data Science, and Machine Learning by building Data platform solutions to solve modern data problems
  • Participate in the creation and review of solution designs and architecture
  • Educate and provide guidance to the wider organization on industry best practices
  • Develop, improve and support infrastructure for existing data solutions on our warehouses and event streams
  • Coordinate with other teams to deliver high-impact data solutions

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