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.
If you are interested in applying for this job, please make sure you meet the following requirements as listed below.
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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