Distributed Cloud | Data Engineer

Added
25 days ago
Type
Full time
Salary
Salary not provided

Related skills

etl sql python pandas ci/cd

๐Ÿ“‹ Description

  • Design and build robust, high-performance data pipelines for large-scale data.
  • Implement and tune data processing to ensure stability and cost-efficiency.
  • Automate end-to-end release processes (CI/CD) and enforce code quality.
  • Collaborate with Data Scientists, Architects, and stakeholders to translate requirements.
  • Participate in code reviews and set engineering standards for the data team.
  • Own the data ecosystem ensuring data integrity, security, and smooth production workflows.

๐ŸŽฏ Requirements

  • 3+ years in Data Engineering or similar roles.
  • Expert-level Python (Pandas, PySpark).
  • Strong SQL with complex ETL/ELT design experience.
  • SDLC knowledge: Git, unit testing, CI/CD.
  • Distributed computing (Spark) and Cloud Data Warehouses (Snowflake, BigQuery, Redshift).
  • Cloud environments and Databricks experience.

๐ŸŽ Benefits

  • Global company culture with a diverse, inclusive environment.
  • Opportunity to work with Cloud, Data, and Cyber security experts.
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