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Data Engineer

SysMind Tech

We are seeking a highly skilled Full Stack Data Engineer to join our team. This role focuses on designing, developing, and supporting modern data solutions across a cloud-based data stack. The ideal candidate is highly self-motivated, resourceful, and capable of building scalable data pipelines, frameworks, and full stack data applications leveraging Snowflake, Python, SQL, and modern DevOps practices.

Key responsibilities:

  • Develop and maintain scalable ELT pipelines and data workflows
  • Design and implement data models and warehouse structures
  • Build full stack data applications and backend services
  • Develop Snowflake-based data solutions within cloud environments
  • Write high-quality Python and SQL code
  • Implement automated testing frameworks
  • Develop reusable data engineering frameworks
  • Build and maintain CI/CD pipelines using GitHub
  • Create reporting and visualization solutions (e.g., Power BI)
  • Monitor and resolve production issues ensuring data reliability
  • Experience with automated testing and framework development
Key competencies:
  • Dagster orchestration
  • dbt transformations
  • Gurobi optimization solver
  • Elementary data validation
  • Retool development
  • GoAnywhere MFT
  • Power BI and DAX
  • Azure services (ADF, Synapse, Key Vault)
  • Snowflake ML/AI or R
  • SQL Server, SSIS, SSRS
  • Financial services domain experience
  • Agile methodologies
  • Highly self-motivated with strong ownership
  • Extreme personal initiative
  • Ability to work independently and in teams
  • Highly resourceful problem solver
  • Strong communication and analytical skills
  • Ability to manage priorities in fast-paced environments
Vacancy posted 1 day ago
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