About the position
If you are passionate about data analytics engineering and want an opportunity to work with the latest technologies, then Modeling Data Solutions has the position for you. Modeling Data Solutions is seeking experienced data analytics engineers to join its small commercial and personal lines teams. This is an exciting opportunity to join the US Data Science Infrastructure department helping to support creating cutting edge pricing programs. You will play a critical role in designing and developing the data solutions needed for research and development as well as providing front line data support in launching new products into market. You will collaborate with multiple stakeholders including data scientists and product analysts to gather requirements, design, and implement robust data solutions. This is a ranged posting, level offered will be based on skills and experience at manager discretion. This role may have in-office requirements depending on candidate location.
Responsibilities
- Lead the development, optimization, and maintenance of scalable data pipelines and ETL processes to support the organization's analytical needs.
- Conduct complex data analysis to identify trends, patterns, and insights, identifying issues and changes with the data and communicating solutions to stakeholders.
- Gather requirements through collaboration with data scientists, analysts, and business stakeholders to provide tailored analytics solutions.
- Implement and enforce data quality and governance standards to ensure data accuracy, reliability, and security.
- Design and implement robust data models that facilitate data accessibility and efficient querying for analysis and reporting.
- Utilize Python, Spark, and SQL queries to build robust data solutions and for profiling data.
- Stay informed of industry trends, tools, and best practices in data analytics and engineering, and apply this knowledge to enhance the team's capabilities.
- Mentor and provide guidance to junior data analytics engineers and analysts, fostering a culture of learning and collaboration.
Requirements
- Strong written and oral communication skills required.
- Bachelor's Degree in Computer Science, Computer Engineering, or related discipline preferred.
- Master's in same or related disciplines strongly preferred.
- 5-7+ years experience in coding for data management, data warehousing, or other data environments, including, but not limited to, working in Python, SQL, ETL, Spark, Snowflake.
- 5-7+ years experience as developer with top quadrant Business Intelligence tools.
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