Job Description

Responsibilities
  • Design, implement, and maintain robust ETL/ELT processes to ingest, clean, and transform data from multiple sources
  • Process and manage complex datasets to support business and analytical needs
  • Conduct regular testing and enhancement of data pipelines to improve efficiency
  • Implement best practices for data validation, testing, and monitoring, proactively identifying and resolving issues to maintain data integrity
  • Collaborate with software engineers and AI/ML engineers to ensure seamless data accessibility
  • Implement best practices for data governance, security, and quality assurance
  • Document data architectures, lineage, and metadata to ensure transparency and reproducibility
Qualifications
  • 5+ years of experience in data engineering, ETL development, or data warehousing
  • Demonstrated ability to design and manage ETL/ELT processes using tools like Airflow, Luigi, or dbt t...

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