Senior Data Engineer with Python

• Solid experience in data engineering, preferably with batch processing or ETL workflows
• Strong hands-on experience with Python (Python-first mindset)
• Experience in ingesting and processing data (e.g., collecting, transforming, and loading data into storage systems such as data lakes)
• Good understanding of working with large-scale and high-volume datasets
• Knowledge of designing and optimizing data processing workflows
• Familiarity with cloud environments (AWS, GCP, or Azure)
• Strong analytical thinking and problem-solving skills

Nice to have:

• Experience working with financial or market data
• Familiarity with columnar storage formats (e.g., Parquet)
• Knowledge of modern data lake or data platform concepts
• Experience with containerization (e.g., Docker, Kubernetes)
• Exposure to timeseries data or low-latency data processing

• Design, build, and maintain data pipelines for processing large-scale datasets
• Develop solutions for data ingestion, transformation, and storage using Python
• Work with structured and unstructured data from various external and internal sources
• Optimize data workflows to ensure performance, scalability, and reliability
• Collaborate with engineering and business teams to understand data needs and deliver solutions
• Ensure data quality through validation, monitoring, and error handling mechanisms
• Contribute to the development of modern data platforms and architectures