About Pwrteams:
Join our fast-growing and diverse team at Pwrteams, where we provide premium IT and engineering nearshore solutions to our global customers. Since 2007, we pursue to become the market leader in assembling cross-border IT and engineering teams for customers. Our operations are strategically positioned within Eastern Europe’s dynamic tech ecosystems, from where we cater the global business landscape.
We’re at the forefront of travel, media and fintech innovation, healthcare efficiency enhancements, and others. Our goal? To connect interesting customer projects and skilled talent alike. Become a part of our team and take the next step on your personal career journey.
About our client
Our client is a global mining company with a world-class portfolio of products that are used by a billion consumers every day. Our client relies on data and cutting-edge data science to enhance their operations. They also use advanced machine learning and artificial intelligence to optimize their processes.
About the project
Our client is a giant corporation with 90000 employees globally. They have their own innovative IT department handling the whole cycle of development of the products used by the organization. You will work in an international expert team to develop sophisticated software solutions that have a direct impact on almost every aspect of modern life. You will use the innovative practices and the latest technologies to deliver safe and sustainable products to their customers around the world. Data Analytics is a new discipline in the Technical and Sustainability function of our client. The company is going to generate more data than ever before, and it needs to build the systems to support this and for making better decisions.
Optimize and fine-tune Apache Airflow environment for performance, reliability, and scalability
Design and implement modular, reusable DAGs to orchestrate complex data workflows
Integrate Airflow with Azure Data Factory, Databricks, Synapse, and other Azure services
Develop and maintain CI/CD pipelines for DAG deployment via Azure DevOps
Establish robust monitoring, alerting, and logging for Airflow operations
Provide architectural guidance and hands-on support for new data pipeline initiatives
Mentor team members and document operational standards and best practices
Proven expertise with Apache Airflow in production, including scheduler, executors (Celery, Kubernetes), and plugins
Strong experience with Azure services: Data Factory, Databricks, Storage, Synapse
Skilled in Python programming with focus on modular, testable code
Proficient in Azure DevOps (YAML pipelines, release management)
Knowledge of KEDA and Celery for orchestration and autoscaling
Experience with Docker, Kubernetes, and Airflow deployment strategies
Familiarity with monitoring/logging tools: Prometheus, Grafana, ELK, Azure Monitor
Strong problem-solving, communication, and collaboration skills
Pwrteams offers:
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