The Role
Designs, implements, and maintains scalable data solutions and ETL pipelines using SQL Server, relational databases, Databricks, and Spark. Responsibilities include data modeling, SQL optimization, data validation, troubleshooting pipeline issues, and communicating technical concepts to diverse stakeholders. The role requires managing competing priorities, supporting multiple projects, innovating, and solving data problems with minimal supervision.
Summary Generated by Built In
- Experience as a Data Engineer or in a similar role, with a strong understanding of data engineering concepts and methodologies, including data modeling and database design to support scalable data solutions.
- Strong knowledge of writing and optimizing SQL queries to retrieve, manipulate, and analyze data efficiently.
- Experience with Microsoft SQL Server and relational databases.
- Ability to design, implement, and maintain ETL pipelines.
- Experience with Databricks and Spark
- Experience with productivity tools such as GitHub Copilot
- Ability to innovate, think critically, and break down problems.
- Ability to handle tasks on multiple projects and navigate competing priorities.
- Ability to analyze and troubleshoot data issues and provide solutions with minimal supervision.
- Basic knowledge of testing and validating data to ensure accuracy and consistency in data pipelines.
- Excellent verbal and written communication skills, with the ability to articulate complex ideas clearly and concisely to both technical and non-technical stakeholders.
- Bachelor's degree in a quantitative discipline such as Engineering, Mathematics, Finance, Business, or a related field. Equivalent practical experience may also be considered.
Skills Required
- Experience as a Data Engineer or in a similar role
- Strong understanding of data engineering concepts and methodologies, including data modeling and database design
- Strong knowledge of writing and optimizing SQL queries
- Experience with Microsoft SQL Server and relational databases
- Ability to design, implement, and maintain ETL pipelines
- Experience with Databricks and Spark
- Experience with productivity tools such as GitHub Copilot
- Ability to innovate, think critically, and break down problems
- Ability to handle multiple projects and competing priorities
- Ability to analyze and troubleshoot data issues with minimal supervision
- Basic knowledge of testing and validating data for accuracy and consistency
- Excellent verbal and written communication skills
- Bachelor's degree in Engineering, Mathematics, Finance, Business, or a related quantitative discipline, or equivalent practical experience
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The Company
What We Do
Test Triangle is a Dublin-headquartered technology services company founded in 2012. It helps organizations transform operations through IT service management, digital transformation, software testing and quality assurance, cloud solutions, consulting, managed services, and recruitment. The company also provides application testing, DevOps, robotic process automation, software and mobile development, technology training, staffing, and resource augmentation across Ireland, the UK, and international markets.
