Sr. Solution Engineer

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Prague
In-Office
Software • Analytics
The Role

GoodData’s Professional Services team works with our customers to build BI solutions using the GoodData platform; and build and customize analytical / reporting products to implement into clients' internal systems. Our team is obsessed with guiding our customers to achieve value with our products in the shortest time possible. We play a critical role in managing the technical ins and outs of the implementation, as well as helping our customers realize the powerful business uses of our tools.


As a team, our leadership philosophy is to give team members autonomy in delivering high-quality work to our customers, while providing guidance and support where needed. Team members are expected to be passionate about expanding their expertise with technology, and continually growing their knowledge of the GoodData platform and related technologies. Additionally, team members will have the opportunity to gain experience working with international teams and customers. To help passionate professionals accelerate the growth of their skills and careers, our team fosters a culture of mentorship and training. 

We are looking for a skilled BI and/or ETL specialist, willing to join the GoodData team, implementing customer projects on the GoodData BI Platform. You will primarily work in a Senior Solution Engineer role, therefore doing the actual implementation of our projects. On the other hand, your contribution to the overall architecture of the project is expected. There's also an opportunity to participate in the development of a general infrastructure for running the projects or act as a Solution Architect on certain projects.

What will you do?
  • Develop and implement BI solutions and analytic applications for accessing and analyzing data.

    • Implementation of a complete Data Pipeline (ETL).

    • Development of data warehouse solution, datamarts.

    • Building data visualizations, dashboards, and reports.

    • Scripting and preparation of automated executions, datamarts provisioning, etc.

    • Automation of infrastructure deployment and operations in Cloud environments.

    • Tune performance and query executions. 

  • Providing feedback on project architecture to the Solution Architect.

The ideal candidate is somebody with at least 7 years of relevant work experience.

Key criteria
  • Required

    • Very good knowledge of SQL

    • Proven experience with design and implementation of ETL processes

    • Deployment and management expertise for Cloud Infrastructure (AWS, Azure)

    • Experience with relational and dimensional data modeling

    • Logical and analytical thinking, communication skills

    • Good spoken and written English

  • Preferred

    • Experience in customer-facing and consulting environment

    • Experience with key components of the modern data stack, including data ingestion, ETL processes, data warehousing solutions, orchestration tools, data visualization platforms, and data governance frameworks.

    • Hands-on experience with CI/CD pipelines, with the ability to automate, manage, and optimize data workflows for efficiency and reliability

    • Knowledge of scripting languages (Python, ...)

It's nice if you have
  • Knowledge of Web Services, REST

  • Advanced experience with Unix environments

  • Graphical design experience

About GoodData

GoodData powers modern BI for the modern data stack.

GoodData is a cloud-based analytics platform. Employees, customers, and business partners will understand the data in the same way thanks to GoodData’s robust end-to-end pipeline; self-service analytics; low-code/no-code interfaces; embeddable data visualization; application integration; and more.

#LI-Hybrid

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The Company
San Francisco, CA
341 Employees
Year Founded: 2007

What We Do

At GoodData, we help companies turn data into insights. Our leading composable data and analytics platform gives our customers the flexibility to build and scale any of their data use cases — from self-service and embeddable analytics, to machine learning and IoT — all while maintaining the performance, cost-efficiency, and easy change management of a central and integrated solution.

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