The Data Engineer will support our analytics and data science teams, as well as external client data needs.
Requirements
- Strong proficiency in SQL, including query optimization and performance tuning.
- Experience with Azure Data Factory, with git repository and pipeline deployment.
- Working knowledge of Python for data-related tasks.
- Previous knowledge of building pipelines for ML models.
- Extensive experience creating/managing stored procedures and functions in MS SQL Server
- 2+ years of experience in cloud architecture (Azure, AWS, etc)
- Experience with ‘code management’ systems (Azure Devops)
Responsibilities
- Develop and optimize complex SQL queries to support internal analytics and external client data requests.
- Generate custom data lists and extracts based on client specifications and business rules.
- Design, build, and maintain efficient ETL pipelines using Azure Data Factory.
- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver high-quality solutions.
- Work with Salesforce data; familiarity with SOQL is preferred but not required.
- Support Power BI reporting through basic data modeling and integration.
- Use Python for data manipulation, automation, and integration tasks.
Other
- 5+ years of experience in data engineering or a related field.
- Ability to translate client requirements into accurate and timely data outputs.
- Strong problem-solving skills and ability to work independently.
- Excellent communication and documentation skills.
- Bachelor’s degree in a computer science field or applicable business experience
