We are seeking an enthusiastic Backend Developer with Python experience to join our Professional Services team. You'll collaborate on innovative customer solutions built on the GoodData data application platform, involving tasks like building custom integrations, data pipelines, smart functions, internal tools, and small services with REST APIs to meet specific customer needs.
You should have a solid understanding of Data Management and Analytics Ecosystem and be familiar with various databases and data processing tools. Ideally, you'll also have exposure to AWS infrastructure and experience with Infrastructure as Code (IaC) approach.
Your RoleDevelop Python-based tools and smart functions to enhance the efficiency of Data Analysts and Engineers. Implement REST API services to meet customer-specific requirements and business logic (e.g., custom benchmarking algorithms).
Build and maintain data processing tools and integrate various data sources, including developing custom data connectors using GoodData Flex Connect.
Collaborate with our solution architects and consult with clients to understand their needs and deliver tailored solutions.
Participate in code reviews and architecture discussions to contribute to the team's technical excellence and collaborative environment.
Proficient in Python for backend development and database interaction with 4+ years of experience.
Knowledge of software engineering best practices (e.g., DRY, KISS, Separation of Concerns, Single Responsibility Principle, Test-Driven Development).
Experience with Git.
Understanding of relational DBs (e.g., SQL, PostgreSQL).
Familiarity with database modeling, design, and performance optimization.
Hands-on experience with ORMs (e.g., SQLAlchemy) or direct database queries.
Basic understanding of data governance and security best practices.
Experience in an Agile environment.
Familiarity with GitHub Actions.
Knowledge of AWS (S3, CloudFront, ECR).
Experience building ETL pipelines and handling large datasets.
Understanding of Ingress, Dockerization, NGINX, and Terraform.
Understanding of non-relational databases (e.g., MongoDB).
In the Professional Services department at GoodData, you’ll build next-gen BI solutions using the GoodData Python SDK, our open-source library designed for major customers. We work in pods—independent units focused on delivering customer implementations with an iterative approach, high quality, and excellent time-to-value, all within an agile (scrum) environment.
You’ll also have opportunities to:
Improve best practices and refine our tech stack.
Participate in internal workshops and meetups.
If you’re passionate about backend development and data engineering and want to work on cutting-edge BI solutions, we’d love to hear from you!
About GoodDataGoodData is a cloud-based analytics platform enabling employees, customers, and partners to interpret data consistently. With an end-to-end pipeline, self-service analytics, low-code/no-code interfaces, embeddable data visualization, and seamless application integration, we deliver robust analytics solutions.
Our infrastructure supports the design and deployment of zero-copy, high-performance, composable BI, AI, and ML data applications. We help Fortune 500 companies process and analyze hundreds of terabytes of data daily—and you will play a key role in this effort.
You’ll join an agile team working in two-week sprints to drive innovation and deliver high-quality tools for customers and colleagues worldwide.
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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.
