Provation logo

Senior Data Engineer

Provation

Responsibilities

At Provation, data is core to our success. We are seeking an experienced Data Engineer who will help lead efforts to design, build and maintain enterprise-grade, high-performance data solutions for both external customers as well as internal departments. The Data Engineer will help develop, maintain, and optimize enterprise data architectures, perform complex data queries, manage ETL/ELT processes, and aid with data analysis and reporting.

Duties & Responsibilities

  • Manage and scale internal and external data sources to support new product launches and drive data quality across products and reporting.
  • Implement best practices around systems integration, security, performance, and data management of complex data systems.
  • Work closely with Product Management and other functional teams to evaluate, develop and maintain innovative data solutions for Provation products.
  • Provide insight into system data quality, recommend, and implement solutions to resolve data quality issues.
  • Work with a great deal of autonomy to find solutions to complex problems and learn new, cutting-edge technologies in ML/AI.
  • Deliver high-quality and on-schedule work according to Agile software development methodology.
  • Participate in Agile activities including daily stand ups, estimations, and backlog grooming and review.
  • Promote and ensure standards and framework compliance.
  • Participate in code reviews providing guidance to Development and QA team members.

Job Requirements

  • Bachelor’s degree in Computer Science, Engineering, or Math or equivalent combination of education and experience.
  • Proven experience as a Data Engineer with a strong focus on modern design patterns.
  • Demonstrated ability implementing scalable data architectures and developing ETL/ELT processes.
  • Experience with data integrity with a focus on data completeness and quality.
  • Proficiency in SQL database design, development, and performance tuning.
  • Experience with cloud platforms such as Azure.
  • Expertise in technologies such as: Azure Data Factory, Snowflake.
  • Experience implementing data protection in highly sensitive environments (HIPAA, PCI, etc.).

Please note: at this time, visa sponsorship is not available.

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