Senior Data Engineer
The Hanover
- Location
- Worcester, MA, USA
- Workplace
- Hybrid
- Employment
- Full Time
- Salary
- USD 100,000–125,000/yr
Posted 3mo ago
The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.
Responsibilities
- Complete data integration, data warehouse design, and build scalable ETL pipelines
- Display data engineering best practices for data storage, integration, transformation, and access within cloud and on-premises platforms
- Ensure data security and compliance within industry standards
- Develop and maintain documentation for data integration and ETL solutions
- Build solutions within Azure Data Services
- Create solutions using pySpark/SparkSQL, and Delta Tables
- Create documentation for data processes
- Collaborate with data scientists, analysts, and stakeholders
- Coach, mentor, and serve as technical guidance for junior team members
- Work within agile development methodologies and use DevOps best practices
Requirements
- Bachelor’s degree or higher in Data Science, Mathematics, Statistics, Computer Science, Information Systems, Business Information Technology, or equivalent
- 5 plus years professional experience in data engineering, data architecture, and/or data integration
- Advanced proficiency in SQL and Python
- Experience working with Azure, AWS, GCP, or other cloud
- Strong problem-solving, communication, and collaboration skills
- Critical thinking and attention to detail
- Must be eligible to work in the United States without requiring sponsorship now or in the future
Preferred
- Microsoft DP-203 or DP-700 certification
- Experience in optimizing data pipelines for scale, performance, reliability, and cost efficiency
- PowerBI experience
- Azure DevOps experience
- Azure Synapse Analytics and/or Microsoft Fabric experience
- Masters in Data Science, Mathematics, Statistics, Computer Science, Information Systems, Business Information Technology, or equivalent
- Actuarial or pricing experience within insurance industry
Skills
- SQL
- Python
- Azure
- AWS
- GCP
- pySpark
- SparkSQL
- Delta Tables
- Azure Data Services
- Azure Synapse Analytics
- Azure SQL Database
- Azure Data Lake Storage
- APIs
- File
- SFTP/FTPS
- Streaming Data
- DB Connectors
- SOAP
- REST
- Microsoft Fabric
- PowerBI
- Azure DevOps
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