Senior Data Software Engineer

We are looking for an experienced Senior Data Software Engineer to play a key role in designing, developing, and maintaining scalable data systems and pipelines.
Responsibilities
Build, optimize, and maintain data processing pipelines to handle large-scale datasets
Develop software solutions to integrate, transform, and analyze data effectively
Collaborate with cross-functional teams, including data scientists, analysts, and cloud architects, to deliver high-quality solutions
Ensure the reliability, scalability, and security of data systems
Leverage cloud platforms to deploy and manage data solutions
Work with distributed computing technologies like Apache Spark to process and analyze large datasets
Monitor and debug systems, resolving issues, and optimizing performance
Document technical processes and ensuring adherence to best practices
Stay updated with the latest advancements in data engineering tools, frameworks, and technologies
Requirements
3+ years of experience in a data engineering role
Proficiency in Python, with solid experience developing robust and scalable code
Hands-on experience with cloud platforms (e.g., AWS, Microsoft Azure, or Google Cloud Platform) for deploying and managing data solutions
Expertise in working with Apache Spark/PySpark for large-scale data processing
Strong understanding of data modeling, ETL processes, and database design
Familiarity with containerization technologies (e.g., Docker, Kubernetes)
Knowledge of version control systems such as Git
Excellent command of professional English (B2 level), both written and verbal, to effectively communicate with the engineering team
Nice to have
Experience with workflow orchestration tools (e.g., Apache Airflow)
Familiarity with machine learning pipelines and tools
Knowledge of CI/CD processes for automating deployments