What are the responsibilities and job description for the Senior Data Engineer (Snowflake) CONFIDENTIAL position at Perennial Resources International?
I have a full time opportunity for a Senior Data Engineer proficient in Snowflake development. This role is 3 days onsite, 2 days remote with one of our leading financial firms in Midtown Manhattan.
In this role you will work with the Global Data Manager to build high-performing cloud data platforms to meet our analytical and BI reporting needs. This role will work as a key member of a data management team to drive development, delivery, and continuous improvement of the enterprise data warehouse architecture in support of our cloud data strategy.
The role requires solid development experience in cloud data warehousing and modern data engineering technologies. The successful candidate will have experience in building a scalable cloud data platform using best practices and data warehouse principles. This person must understand business requirements and work closely with stakeholders to convert business requirements into technical solutions. This is a hands-on engineering role requiring extensive data engineering and advanced data analytical skills, as well as the ability to provide mentorship and guidance to junior resources.
Essential Functions :
- Translate business requirements into data model design and technical solutions.
- Mentor and guide the work of junior database developers and analysts.
- Develop high-performing, secure ELT / ETL processes to transform and integrate source data from internal and external systems to the cloud data warehouse.
- Maintain data warehouse and dat pipeline processes, including troubleshooting issues, performance tuning, and implementing data quality improvements.
- Develop a framework for data validation rules and reports to ensure data quality and control.
- utomate standard code deployment and production release processes, adhering to change management processes.
- Create high-quality technical documentation, including data mapping, data processes, and operational support guides.
- Provide guidance on effective use of the data warehouse platform and facilitate BI reporting and data science model development.
- Troubleshoot process and data issues, investigate user questions, and identify solutions to resolve issues.
- Work in a fast-paced, dynamic environment and perform effectively in an agile development environment.
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