Senior Data Analytics Engineer

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. Collaborate with data scientists, analysts, and business stakeholders to understand their data requirements and 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, Snowflake, 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. Experience with dbt or Databricks is a plus. Domain experience in personal lines Auto, Property, or other insurance product areas. Proven experience leading cross-functional analytics projects, including stakeholder management, project scoping, and delivering business outcomes. 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 NoSQL implementation, ETL, Java, scripting languages (Python, Perl, Shell), and the Hadoop stack. 5-7+ years experience as developer with top quadrant Business Intelligence tools.