Junior Data Platform Engineer Offline

Data Insights in CoreTech is a dynamic and innovative team at the forefront of data-driven solutions. We are looking for a talented and motivated Junior Data Platform Engineer to join our growing team. If you have a passion for developing data pipelines, working with cloud technologies, and building robust data platforms, this role is perfect for you.

As a Junior Data Platform Engineer at CoreTech, you will play a crucial role in developing and maintaining our data infrastructure and platforms. You will collaborate closely with cross-functional teams to ensure the availability, scalability, and performance of our data solutions. In our team, we treat data as a product, placing emphasis on high-quality engineering practices, stringent data quality measures, and robust data governance. We are dedicated to delivering a scalable and reliable data platform that caters to the needs of all stakeholders, utilizing best-in-class data tools for optimal results.

Coretech is a B2B company that provides a SaaS (software as a service) solution for online sports platforms. Our systems process more than 3 billion messages every day to provide our clients with the most accurate and consistent sports data.

A bit about your future role

• Develop and manage reliable batch and real-time data pipelines.

• Develop and manage API services and end-user applications for our data platform.

• Design and manage the data lake and data warehouse systems.

• Design and manage the fraud prevention system.

• Build and maintain the data infrastructure using Infrastructure as Code (IaC) and DevOps practices.

• Establish and maintain CI/CD pipelines to streamline code integration, testing, and deployment.

The qualities, experience, and skills we are looking for

• 1+ years of experience with Python, SQL, and data processing tools.

• Familiarity with Data Engineering: Data pipelines, ETL, Data Quality, OLAP, Big data frameworks.

• Familiarity with Backend Engineering: API, Micro-services, OLTP storages, Stream processing.

• Experience with Continuous Integration Tools: Git, Jenkins, Cloud Build, Git Actions.

• Understanding of SOLID, microservices, DDD, RPC, REST, distributed applications, and multithreading.

• Very good written and spoken English.

• Excellent soft skills.

What would be a bonus

• Familiarity with Google Cloud Platform

• Familiarity with in Infrastructure and DevOps: Cloud infrastructure, k8s, Docker.

• Familiarity with in Analytics Engineering: Data Modelling, Data warehouses, Workflow Managers.

• Knowledge of Frontend Engineering: jQuery, Micro-services, OLTP storages, Stream processing.

• Familiarity with Python web frameworks such as Flask and Django

• Knowledge of Business Intelligence, including BI tools, dashboards, and visualizations

• Skill in Data Analytics, including statistical analysis and presentation skills

• Knowledge of Machine Learning techniques, including ML/DL techniques, feature engineering, and MLOps

• Knowledge of Python data processing and ML frameworks such as PySpark, Beam, scikit-learn, and pandas