Voya Financial is looking to solve the problem of delivering trusted data for analysis and product use cases by designing, building, and maintaining scalable data pipelines and systems.
Requirements
- 2-5 years of experience in data engineering, data modeling, and ETL pipelines
- Proficient in SQL and Python for creating, improving, and fixing data pipelines
- Experience with cloud and data platforms, especially Azure and Databricks (Delta Live Tables and Unity Catalog)
- Strong understanding of tools like SnapLogic, Azure Data Factory, and Jenkins for data integration and orchestration
- Practical experience with Terraform for infrastructure as code and managing deployment pipelines
- Experience integrating with APIs.
- Knowledge of data quality and monitoring tools, particularly Soda or similar
Responsibilities
- Develop and maintain batch and streaming data pipelines using modern tools and frameworks. Design transformations, optimize performance, and ensure reliable data delivery.
- Design and implement scalable and maintainable data models and storage solutions that align with business needs and support efficient querying, analysis, and data integration efforts.
- Engage in agile best practices, help refine stories, identify dependencies, and proactively raise risks or concerns to ensure work is completed on time or escalated when needed.
- Implement and enforce data quality controls, validation, and compliance standards across pipelines.
- Support the deployment, scheduling, and monitoring of data pipelines and workflows to ensure consistent, reliable execution.
- Maintain comprehensive documentation and advocate for coding standards, best practices, and reusable components.
- Collaborate regularly with cross-functional teams to clarify data requirements, document assumptions, and deliver high-quality solutions.
Other
- Bachelor's degree in a related field
- 2-5 years of experience in a related field
- Ability to work in an agile team environment
- Strong communication and collaboration skills
- Ability to work in a fast-paced environment with multiple priorities and deadlines
