As a Senior Data Engineer, you will lead the development and maintenance of robust data infrastructure. Your work will ensure that data flows efficiently across systems, supporting analytics, machine learning, and business operations.
Responsibilities
- Design, build, and manage scalable data pipelines and ETL processes
- Ensure data accuracy, availability, and security across platforms
- Collaborate with data scientists and analysts to understand requirements and deliver solutions
- Optimize data storage and query performance for large-scale datasets
- Implement monitoring and alerting to maintain system reliability
Requirements
- Proven experience in data engineering with strong knowledge of SQL, Python, and distributed systems
- Familiarity with cloud platforms such as AWS or GCP, and tools like Spark, Airflow, or Kafka
- Experience with data warehousing solutions and modern data stack technologies
- Ability to work independently and guide technical direction
- Bachelor’s or master’s degree in computer science or a related field
This role offers the chance to shape the foundation of data infrastructure and contribute to impactful, long-term technical projects.
