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.

  • 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.

  • 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

Skills Nice to have:

  • data warehouse automation tool experience
  • knowledge of MS SSIS, Amazon DMS, BI Tableau experience 
  • programming skills in Java

EndySoft is fast-growing company with focus on providing of IT resources. Main area are body-leasing, team outsourcing, recruitment and related HR services. Partially, we are also specializing on business automation and software development. We help our customers and partners to ease from daily headaches, which are connected with heavy and time-consuming tasks, and to focus on their main part of their business. EndySoft is a company established in 2019. The company operates locally in the Central Europe.