A Senior Data Engineer is responsible for designing, developing, and maintaining data infrastructure solutions within an organization. They play a crucial role in building and optimizing data pipelines and architectures to ensure smooth data flow across various systems.
requirements-expected :
3+ years of experience in data engineering, with a focus on ELT/ETL pipelines and data processing using BigQuery, Snowflake
hands-on experience in designing and building scalable and efficient data pipelines
strong knowledge of data modeling, data warehousing, and SQL
experience with data encryption and security best practices, particularly user-managed keys
understanding of cloud computing and GCP services, BigQuery and Cloud Storage
knowledge of Snowflake, Data Vault
experience with Git and collaborative work
experience with collaboration tools Jira, Confluence
work on cloud technologies AWS or Google Cloud Platform
offered :
An exciting and evolving project awaits you in the healthcare industry
Competitive compensation
Professional growth and skill enhancement opportunities
Work closely with a professional team and leverage cutting-edge tools
100% remote work and flexible work hours, allowing you to tailor your work schedule to your needs
benefits :
sharing the costs of professional training & courses
