Hybrid Data Engineer, Snowflake

Posted 2 weeks ago

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About the role

  • Develop and maintain efficient and secure data pipelines using Snowflake;
  • Design and optimize data structures to support analytics and reporting;
  • Integrate data from various sources (APIs, relational databases, files, etc.);
  • Implement best practices for data governance, security, and data quality;
  • Automate data ingestion, transformation, and loading processes;
  • Collaborate with business stakeholders;
  • Provide maintenance and technical support, ensuring data availability and reliability;
  • Monitor Snowflake platform performance and costs;
  • Document data processes and architecture.

Requirements

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field;
  • Experience with Snowflake (modeling, ingestion, optimization);
  • Advanced knowledge of SQL and data engineering best practices;
  • Experience with Python for data manipulation;
  • Experience with data engineering tools (e.g., dbt, Apache Airflow);
  • Familiarity with cloud environments (preferably AWS);
  • Knowledge of code versioning (Git) and agile methodologies;
  • Clear communication skills and the ability to collaborate with multidisciplinary teams.
  • Preferred:
  • Knowledge of Terraform (IaC) to manage and automate cloud resources;
  • Hands-on experience developing, integrating, and orchestrating autonomous agents and AI applications.

Benefits

  • Not specified.

Job title

Data Engineer, Snowflake

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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