Job Description

What you’ll do:
  • Contribute to the design, development, and maintenance of data pipelines and workflows, ensuring reliability and consistency across environments. 
  • Implement data validation, testing, and basic lineage tracking to support data quality initiatives. 
  • Monitor pipelines and systems, triaging issues, and collaborating with senior engineers to resolve root causes. 
  • Support performance optimization efforts for data storage, queries, and processing workloads. 
  • Participate in managing cloud-based environments (e.g., Azure) for data and ML workflows. 
  • Work with orchestration tools to schedule and maintain recurring jobs. 
  • Assist in implementing metadata management and access controls. 
  • Contribute to building dashboards and monitoring tools for data quality, model performance, and system health. 
  • Collaborate with cross-functional teams to understand data requirements and support internal stakeholders. 
  • Docu...
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