Principal Data Engineer

AF Group

SUMMARY Construct data pipelines and tools that provide trusted and easy access to make effective data driven decisions by the enterprise. Brings strong analytical skills and intellectual curiosity to understand business context, strategy and outcomes in engineering highly trusted data & analytics solutions. Design, build and deploy data solutions that use data to support business intelligence, data intensive applications, AI and ML. Responsible for helping develop solutions design including the adherence to best practices and patterns from Data & Enterprise Architecture. Ensures execution excellence through providing technical / solution leadership and developing and mentoring technical skills on the team. ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties may be assigned. Design Complex data solutions Act as subject matter expert within functional area and educate consumers on data solutions. Build and operationalize Complex highly trusted and utilized data solutions. Develop for unit, functional, integrated and regression tests to ensure quality. Design and develop code, scripts and data pipelines that leverage structured and unstructured data integrated from multiple sources. Develop product deliverable documentation. Collaborate with agile team members to meet deadlines. Incorporate core architectural, data management, governance, security and quality practices and standards. Proactive identification of decommissioning and automation opportunities to ensure cost management and increased productivity. Ensure the availability, security, scalability and quality of the data products and processes owned. Mentor, develop and grow data engineering talent. EDUCATION AND EXPERIENCE Relevant combination of education and experience may be considered in lieu of degree. Bachelors degree in Computer Science, Engineering, Applied Mathematics, or related field; OR equivalent training with data technology, processes or solutions. 6 years of data engineering or equivalent experience. 2 years of project leadership experience Working with data in an insurance environment is preferred. Certification or progress toward certification is highly preferred and encouraged. QUALIFICATIONS To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. OTHER SKILLS AND ABILITIES Intermediate communication Intermediate relationship building Advanced problem solving skills 2 Last Updated: 1/3/2024 Basic influence Intermediate change management Intermediate strategy development Proficient Execution Excellence Advanced knowledge of relational database systems (Oracle or SQL) Advanced knowledge of ETL tools and processes Experience with statistics and data analysis, experience using various database platforms, data acquisition techniques, business intelligence and analysis tools. Advanced working knowledge of DevOps fundamentals (build, release, test, monitor). Intermediate knowledge of R, Python and SSRS preferred. Proficient knowledge of BI / Dashboards tools such as PowerBI Advanced knowledge of Big Data platforms such as Hadoop and DataBricks preferred. Familiarity or exposure to Java and .Net preferred. Advanced knowledge of Cloud Data Platforms such as Snowflake Advanced project management experience. Strong Agile experience preferred. Advanced knowledge of database structures and data modeling. Familiarity with database administration. ADDITIONAL INFORMATION The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills

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