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Data Platform Engineer: Transforming Complex Data into Actionable Insights
2 weeks ago
Job Description:
We are seeking a highly skilled Data Platform Engineer to join our team. As a key member of our organization, you will be responsible for designing and implementing scalable data processing pipelines for both streaming and batch workloads using Big Data technologies.
About the Role:
- You will architect and implement end-to-end data platforms, ensuring high availability, performance, and reliability.
- Lead the development of CI/CD and MLOps processes to automate deployments, monitoring, and model lifecycle management.
- Develop and maintain applications for aggregating, processing, and analyzing data from diverse sources, ensuring efficiency and scalability.
- Collaborate with Data Science teams on Machine Learning projects, including text/image analysis, feature engineering, and predictive model deployment.
Requirements:
- Python programming skills.
- Strong SQL skills.
- Experience with ETL (Extract, Transform, Load) processes.
- Familiarity with Azure cloud services.
- Proficiency in Databricks, Apache Airflow, Dagster, and DBT.
- Knowledge of Docker, Kubernetes, Kafka, Power BI, and Agile methodologies.
Benefits:
- A supportive team environment.
- The opportunity to work on international projects.
- Flexible working hours and remote work possibility.
- Professional growth through career paths and training opportunities.
- A range of employment options, including B2B contracts and freelance work.